{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/edge-computing/papers/9","list_of":"/task/edge-computing","task":"Edge-computing","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":9,"pages_in_order":13,"rows_per_page":100,"rows":[801,900],"of":1279,"counts":{"archive_papers_tagged":1279,"with_a_code_link":223,"where_syntology_ran_a_sample":12,"not_listed_spam_title":0,"listed":1279,"listed_where_code_ran":12,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":12,"every_run_a_failure_of_syntologys_instrument":0,"listed_with_a_run_with_no_instrument_failure":12,"listed_every_run_a_failure_of_syntologys_instrument":0,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/edge-computing","prev":"/task/edge-computing/papers/8","next":"/task/edge-computing/papers/10","papers":[{"url":null,"slug":"integrating-satellites-and-mobile-edge","title":"Integrating Satellites and Mobile Edge Computing for 6G Wide-Area Edge Intelligence: Minimal Structures and Systematic Thinking","date":"2022-08-16","arxiv_id":"2208.07528","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-task-software-caching-assisted","title":"Dynamic Task Software Caching-assisted Computation Offloading for Multi-Access Edge Computing","date":"2022-08-15","arxiv_id":"2208.07151","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-optimization-of-dnn-inference-delay-and","title":"Joint Optimization of DNN Inference Delay and Energy under Accuracy Constraints for AR Applications","date":"2022-08-03","arxiv_id":"2208.01860","repositories_listed":0,"syntology":null},{"url":null,"slug":"distributed-intelligence-in-wireless-networks","title":"Distributed Intelligence in Wireless Networks","date":"2022-08-01","arxiv_id":"2208.00545","repositories_listed":0,"syntology":null},{"url":null,"slug":"computational-complexity-reduction-of-deep","title":"Computational complexity reduction of deep neural networks","date":"2022-07-29","arxiv_id":"2207.14620","repositories_listed":0,"syntology":null},{"url":null,"slug":"static-hand-gesture-recognition-for-american","title":"Static Hand Gesture Recognition for American Sign Language using Neuromorphic Hardware","date":"2022-07-25","arxiv_id":"2207.12559","repositories_listed":0,"syntology":null},{"url":null,"slug":"distributed-deep-learning-inference","title":"Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing","date":"2022-07-22","arxiv_id":"2207.11294","repositories_listed":0,"syntology":null},{"url":null,"slug":"receptive-field-based-segmentation-for","title":"Receptive Field-based Segmentation for Distributed CNN Inference Acceleration in Collaborative Edge Computing","date":"2022-07-22","arxiv_id":"2207.11293","repositories_listed":0,"syntology":null},{"url":null,"slug":"combined-federated-and-split-learning-in-edge","title":"Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future Directions","date":"2022-07-20","arxiv_id":"2207.09611","repositories_listed":0,"syntology":null},{"url":null,"slug":"many-to-one-knowledge-distillation-of-real","title":"Many-to-One Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Internet of Things Systems","date":"2022-07-20","arxiv_id":"2208.00885","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-intelligent-trust-cloud-management-method","title":"An Intelligent Trust Cloud Management Method for Secure Clustering in 5G enabled Internet of Medical Things","date":"2022-07-19","arxiv_id":"2207.09057","repositories_listed":0,"syntology":null},{"url":null,"slug":"romanus-robust-task-offloading-in-modular","title":"Romanus: Robust Task Offloading in Modular Multi-Sensor Autonomous Driving Systems","date":"2022-07-18","arxiv_id":"2207.08865","repositories_listed":0,"syntology":null},{"url":null,"slug":"latency-minimization-for-mmwave-d2d-mobile","title":"Latency Minimization for mmWave D2D Mobile Edge Computing Systems: Joint Task Allocation and Hybrid Beamforming Design","date":"2022-07-17","arxiv_id":"2207.08123","repositories_listed":0,"syntology":null},{"url":null,"slug":"eeg2vec-learning-affective-eeg","title":"EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders","date":"2022-07-16","arxiv_id":"2207.08002","repositories_listed":0,"syntology":null},{"url":null,"slug":"gusot-green-and-unsupervised-single-object","title":"GUSOT: Green and Unsupervised Single Object Tracking for Long Video Sequences","date":"2022-07-15","arxiv_id":"2207.07629","repositories_listed":0,"syntology":null},{"url":null,"slug":"low-bit-shift-network-for-end-to-end-spoken","title":"Low-bit Shift Network for End-to-End Spoken Language Understanding","date":"2022-07-15","arxiv_id":"2207.07497","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-near-sensor-edge-computing-system-for-point","title":"A Near Sensor Edge Computing System for Point Cloud Semantic Segmentation","date":"2022-07-12","arxiv_id":"2207.05888","repositories_listed":0,"syntology":null},{"url":null,"slug":"sustainable-ai-processing-at-the-edge","title":"Sustainable AI Processing at the Edge","date":"2022-07-04","arxiv_id":"2207.01209","repositories_listed":0,"syntology":null},{"url":null,"slug":"tt-pinn-a-tensor-compressed-neural-pde-solver","title":"TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing","date":"2022-07-04","arxiv_id":"2207.01751","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-recurrent-federated-learning-for","title":"Unsupervised Recurrent Federated Learning for Edge Popularity Prediction in Privacy-Preserving Mobile Edge Computing Networks","date":"2022-07-02","arxiv_id":"2207.00755","repositories_listed":0,"syntology":null},{"url":null,"slug":"turbo-opportunistic-enhancement-for-edge","title":"Turbo: Opportunistic Enhancement for Edge Video Analytics","date":"2022-06-29","arxiv_id":"2207.00172","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-feature-memory-rearrangement-network-for","title":"A Feature Memory Rearrangement Network for Visual Inspection of Textured Surface Defects Toward Edge Intelligent Manufacturing","date":"2022-06-22","arxiv_id":"2206.10830","repositories_listed":0,"syntology":null},{"url":null,"slug":"real-time-full-stack-traffic-scene-perception","title":"Real-time Full-stack Traffic Scene Perception for Autonomous Driving with Roadside Cameras","date":"2022-06-20","arxiv_id":"2206.09770","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-trustworthy-edge-intelligence","title":"Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services","date":"2022-06-20","arxiv_id":"2206.09523","repositories_listed":0,"syntology":null},{"url":null,"slug":"two-hop-age-of-information-scheduling-for","title":"Two-Hop Age of Information Scheduling for Multi-UAV Assisted Mobile Edge Computing: FRL vs MADDPG","date":"2022-06-19","arxiv_id":"2206.09488","repositories_listed":0,"syntology":null},{"url":null,"slug":"clustered-scheduling-and-communication","title":"Clustered Scheduling and Communication Pipelining For Efficient Resource Management Of Wireless Federated Learning","date":"2022-06-15","arxiv_id":"2206.07631","repositories_listed":0,"syntology":null},{"url":null,"slug":"edge-inference-with-fully-differentiable","title":"Edge Inference with Fully Differentiable Quantized Mixed Precision Neural Networks","date":"2022-06-15","arxiv_id":"2206.07741","repositories_listed":0,"syntology":null},{"url":null,"slug":"edge-security-challenges-and-issues","title":"Edge Security: Challenges and Issues","date":"2022-06-14","arxiv_id":"2206.07164","repositories_listed":0,"syntology":null},{"url":null,"slug":"monitoring-and-proactive-management-of-qos","title":"Monitoring and Proactive Management of QoS Levels in Pervasive Applications","date":"2022-06-11","arxiv_id":"2206.05478","repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-deep-autoencoder-for-federated-learning","title":"Fast Deep Autoencoder for Federated learning","date":"2022-06-10","arxiv_id":"2206.05136","repositories_listed":0,"syntology":null},{"url":null,"slug":"irs-for-multi-access-edge-computing-in-6g","title":"IRS for Multi-Access Edge Computing in 6G Networks","date":"2022-06-10","arxiv_id":"2206.05290","repositories_listed":0,"syntology":null},{"url":null,"slug":"edge-semantic-cognitive-intelligence-for-6g","title":"Edge Semantic Cognitive Intelligence for 6G Networks: Novel Theoretical Models, Enabling Framework, and Typical Applications","date":"2022-05-24","arxiv_id":"2205.12073","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-split-computing-for-efficient-deep","title":"Dynamic Split Computing for Efficient Deep Edge Intelligence","date":"2022-05-23","arxiv_id":"2205.11269","repositories_listed":0,"syntology":null},{"url":null,"slug":"actively-tracking-the-optimal-arm-in-non","title":"Fast Change Identification in Multi-Play Bandits and its Applications in Wireless Networks","date":"2022-05-20","arxiv_id":"2205.10366","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-jointly-optimizing-partial-offloading-and","title":"On Jointly Optimizing Partial Offloading and SFC Mapping: A Cooperative Dual-agent Deep Reinforcement Learning Approach","date":"2022-05-20","arxiv_id":"2205.09925","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-decentralization-of-blockchain-enabled","title":"On the Decentralization of Blockchain-enabled Asynchronous Federated Learning","date":"2022-05-20","arxiv_id":"2205.10201","repositories_listed":0,"syntology":null},{"url":null,"slug":"experimentally-realized-in-situ","title":"Experimentally realized in situ backpropagation for deep learning in nanophotonic neural networks","date":"2022-05-17","arxiv_id":"2205.08501","repositories_listed":0,"syntology":null},{"url":null,"slug":"function-regression-using-spiking-deeponet","title":"Spiking Neural Operators for Scientific Machine Learning","date":"2022-05-17","arxiv_id":"2205.10130","repositories_listed":0,"syntology":null},{"url":null,"slug":"providing-location-information-at-edge","title":"Providing Location Information at Edge Networks: A Federated Learning-Based Approach","date":"2022-05-17","arxiv_id":"2205.08292","repositories_listed":0,"syntology":null},{"url":null,"slug":"trustworthy-graph-neural-networks-aspects","title":"Trustworthy Graph Neural Networks: Aspects, Methods and Trends","date":"2022-05-16","arxiv_id":"2205.07424","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-edge-cloud-integrated-framework-for","title":"An Edge-Cloud Integrated Framework for Flexible and Dynamic Stream Analytics","date":"2022-05-10","arxiv_id":"2205.04622","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-care-selective-fusion-with-context-aware","title":"SELF-CARE: Selective Fusion with Context-Aware Low-Power Edge Computing for Stress Detection","date":"2022-05-08","arxiv_id":"2205.03974","repositories_listed":0,"syntology":null},{"url":null,"slug":"intelligent-reflecting-surface-aided-mobile","title":"Intelligent Reflecting Surface Aided Mobile Edge Computing With Binary Offloading: Energy Minimization for IoT Devices","date":"2022-05-04","arxiv_id":"2205.02194","repositories_listed":0,"syntology":null},{"url":null,"slug":"smart-city-intersections-intelligence-nodes","title":"Smart City Intersections: Intelligence Nodes for Future Metropolises","date":"2022-05-03","arxiv_id":"2205.01686","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-player-multi-armed-bandits-with-finite","title":"Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications","date":"2022-04-28","arxiv_id":"2204.13502","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-xai-for-beyond-5g-security","title":"A Survey on XAI for 5G and Beyond Security: Technical Aspects, Challenges and Research Directions","date":"2022-04-27","arxiv_id":"2204.12822","repositories_listed":0,"syntology":null},{"url":null,"slug":"energy-efficient-dynamic-edge-computing-with","title":"Energy-Efficient Dynamic Edge Computing with Electromagnetic Field Exposure Constraints","date":"2022-04-27","arxiv_id":"2204.12988","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-closer-look-at-personalization-in-federated","title":"A Closer Look at Personalization in Federated Image Classification","date":"2022-04-22","arxiv_id":"2204.11841","repositories_listed":0,"syntology":null},{"url":null,"slug":"lossy-compression-of-matrices-by-black-box","title":"Lossy compression of matrices by black-box optimisation of mixed integer nonlinear programming","date":"2022-04-22","arxiv_id":"2204.10579","repositories_listed":0,"syntology":null},{"url":null,"slug":"effective-goal-oriented-6g-communications-the","title":"Effective Goal-oriented 6G Communications: the Energy-aware Edge Inferencing Case","date":"2022-04-20","arxiv_id":"2204.09447","repositories_listed":0,"syntology":null},{"url":null,"slug":"d3pg-dirichlet-ddpg-for-task-partitioning-and","title":"D3PG: Dirichlet DDPG for Task Partitioning and Offloading With Constrained Hybrid Action Space in Mobile-Edge Computing","date":"2022-04-14","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"edge-enabled-metaverse-the-convergence-of","title":"Edge-enabled Metaverse: The Convergence of Metaverse and Mobile Edge Computing","date":"2022-04-13","arxiv_id":"2205.02764","repositories_listed":0,"syntology":null},{"url":null,"slug":"secure-formation-control-via-edge-computing","title":"Secure Formation Control via Edge Computing Enabled by Fully Homomorphic Encryption and Mixed Uniform-Logarithmic Quantization","date":"2022-04-13","arxiv_id":"2204.06349","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficientfi-towards-large-scale-lightweight","title":"EfficientFi: Towards Large-Scale Lightweight WiFi Sensing via CSI Compression","date":"2022-04-08","arxiv_id":"2204.04138","repositories_listed":0,"syntology":null},{"url":null,"slug":"stmgcn-mobile-edge-computing-empowered-vessel","title":"STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network","date":"2022-04-08","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"enabling-deep-learning-for-all-in-edge","title":"Enabling All In-Edge Deep Learning: A Literature Review","date":"2022-04-07","arxiv_id":"2204.03326","repositories_listed":0,"syntology":null},{"url":null,"slug":"brain-inspired-hyperdimensional-computing-how","title":"Brain-Inspired Hyperdimensional Computing: How Thermal-Friendly for Edge Computing?","date":"2022-04-05","arxiv_id":"2204.03739","repositories_listed":0,"syntology":null},{"url":null,"slug":"going-beyond-rf-how-ai-enabled-multimodal","title":"Going Beyond RF: How AI-enabled Multimodal Beamforming will Shape the NextG Standard","date":"2022-03-30","arxiv_id":"2203.16706","repositories_listed":0,"syntology":null},{"url":null,"slug":"energy-efficient-and-physical-layer-secure","title":"Energy-Efficient and Physical Layer Secure Computation Offloading in Blockchain-Empowered Internet of Things","date":"2022-03-25","arxiv_id":"2203.13526","repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-fluorescence-lifetime-imaging-analysis","title":"Fast fluorescence lifetime imaging analysis via extreme learning machine","date":"2022-03-25","arxiv_id":"2203.13754","repositories_listed":0,"syntology":null},{"url":null,"slug":"energy-efficient-uav-mounted-ris-assisted","title":"Energy-Efficient UAV-Mounted RIS Assisted Mobile Edge Computing","date":"2022-03-24","arxiv_id":"2203.12799","repositories_listed":0,"syntology":null},{"url":null,"slug":"contextual-model-aggregation-for-fast-and","title":"Contextual Model Aggregation for Fast and Robust Federated Learning in Edge Computing","date":"2022-03-23","arxiv_id":"2203.12738","repositories_listed":0,"syntology":null},{"url":null,"slug":"imagenet-challenging-classification-with-the","title":"ImageNet Challenging Classification with the Raspberry Pi: An Incremental Local Stochastic Gradient Descent Algorithm","date":"2022-03-21","arxiv_id":"2203.11853","repositories_listed":0,"syntology":null},{"url":null,"slug":"latency-optimization-for-blockchain-empowered","title":"Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing","date":"2022-03-18","arxiv_id":"2203.09670","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-optimize-resource-assignment-for","title":"Learning to Optimize Resource Assignment for Task Offloading in Mobile Edge Computing","date":"2022-03-15","arxiv_id":"2203.09954","repositories_listed":0,"syntology":null},{"url":null,"slug":"regret-matching-learning-based-task","title":"Multi-Agent Task Assignment in Vehicular Edge Computing: A Regret-Matching Learning-Based Approach","date":"2022-03-10","arxiv_id":"2203.05281","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-sustainable-satellite-edge-computing","title":"Towards Sustainable Satellite Edge Computing","date":"2022-03-10","arxiv_id":"2203.06065","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-serves-traffic-safety-analysis","title":"Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review","date":"2022-03-07","arxiv_id":"2203.10939","repositories_listed":0,"syntology":null},{"url":null,"slug":"weightless-neural-networks-for-efficient-edge","title":"Weightless Neural Networks for Efficient Edge Inference","date":"2022-03-03","arxiv_id":"2203.01479","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-free-reinforcement-learning-for-content","title":"Whittle Index based Q-Learning for Wireless Edge Caching with Linear Function Approximation","date":"2022-02-26","arxiv_id":"2202.13187","repositories_listed":0,"syntology":null},{"url":null,"slug":"evolutionary-multi-objective-reinforcement","title":"Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing","date":"2022-02-24","arxiv_id":"2202.12028","repositories_listed":0,"syntology":null},{"url":null,"slug":"energy-efficient-resource-allocation-in-multi","title":"Energy-Efficient Resource Allocation in Multi-UAV-Assisted Two-Stage Edge Computing for Beyond 5G Networks","date":"2022-02-23","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"reinforcement-learning-framework-for-server","title":"Reinforcement Learning Framework for Server Placement and Workload Allocation in Multi-Access Edge Computing","date":"2022-02-21","arxiv_id":"2203.07998","repositories_listed":0,"syntology":null},{"url":null,"slug":"mscet-a-multi-scenario-offloading-schedule","title":"MSCET: A Multi-Scenario Offloading Schedule for Biomedical Data Processing and Analysis in Cloud-Edge-Terminal Collaborative Vehicular Networks","date":"2022-02-16","arxiv_id":"2203.07999","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-reinforcement-learning-based-multi","title":"Deep Reinforcement Learning Based Multi-Access Edge Computing Schedule for Internet of Vehicle","date":"2022-02-15","arxiv_id":"2202.08972","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-architecture-search-for-energy","title":"Neural Architecture Search for Energy Efficient Always-on Audio Models","date":"2022-02-09","arxiv_id":"2202.05397","repositories_listed":0,"syntology":null},{"url":null,"slug":"techtile-open-6g-r-d-testbed-for","title":"Techtile -- Open 6G R&D Testbed for Communication, Positioning, Sensing, WPT and Federated Learning","date":"2022-02-09","arxiv_id":"2202.04524","repositories_listed":0,"syntology":null},{"url":null,"slug":"communication-control-co-design-in-wireless","title":"Communication-Control Co-design in Wireless Edge Industrial Systems","date":"2022-02-08","arxiv_id":"2202.03976","repositories_listed":0,"syntology":null},{"url":null,"slug":"edge-based-fever-screening-system-over","title":"Edge-based fever screening system over private 5G","date":"2022-02-08","arxiv_id":"2202.03917","repositories_listed":0,"syntology":null},{"url":null,"slug":"energy-efficiency-and-delay-tradeoff-in-an","title":"Energy Efficiency and Delay Tradeoff in an MEC-Enabled Mobile IoT Network","date":"2022-02-08","arxiv_id":"2202.03648","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-reliable-data-transmission-mechanism-using","title":"A Reliable Data-transmission Mechanism using Blockchain in Edge Computing Scenarios","date":"2022-02-07","arxiv_id":"2202.03428","repositories_listed":0,"syntology":null},{"url":null,"slug":"sugar-efficient-subgraph-level-training-via","title":"SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning","date":"2022-01-31","arxiv_id":"2202.00075","repositories_listed":0,"syntology":null},{"url":null,"slug":"5g-enabled-mobile-edge-computing-security-for","title":"5G enabled Mobile Edge Computing security for Autonomous Vehicles","date":"2022-01-30","arxiv_id":"2202.00005","repositories_listed":0,"syntology":null},{"url":null,"slug":"analysis-and-optimization-of-the-latency","title":"Analysis and Optimization of the Latency Budget in Wireless Systems with Mobile Edge Computing","date":"2022-01-27","arxiv_id":"2201.11590","repositories_listed":0,"syntology":null},{"url":null,"slug":"network-level-safety-metrics-for-overall","title":"Network-level Safety Metrics for Overall Traffic Safety Assessment: A Case Study","date":"2022-01-27","arxiv_id":"2201.13229","repositories_listed":0,"syntology":null},{"url":null,"slug":"reinforcement-learning-empowered-mobile-edge","title":"Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence","date":"2022-01-27","arxiv_id":"2201.11410","repositories_listed":0,"syntology":null},{"url":null,"slug":"variational-autoencoders-for-reliability","title":"Variational Autoencoders for Reliability Optimization in Multi-Access Edge Computing Networks","date":"2022-01-25","arxiv_id":"2201.10032","repositories_listed":0,"syntology":null},{"url":null,"slug":"edgemap-crowdsourcing-high-definition-map-in","title":"EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing","date":"2022-01-20","arxiv_id":"2201.07973","repositories_listed":0,"syntology":null},{"url":null,"slug":"resource-allocation-algorithm-for-mec-based","title":"Resource allocation algorithm for MEC based on Deep Reinforcement Learning","date":"2022-01-20","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-energy-efficient-distributed","title":"Towards Energy Efficient Distributed Federated Learning for 6G Networks","date":"2022-01-19","arxiv_id":"2201.08270","repositories_listed":0,"syntology":null},{"url":null,"slug":"balancing-performance-and-energy-consumption","title":"Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing","date":"2022-01-17","arxiv_id":"2201.06205","repositories_listed":0,"syntology":null},{"url":null,"slug":"smartdet-context-aware-dynamic-control-of","title":"SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection","date":"2022-01-11","arxiv_id":"2201.04235","repositories_listed":0,"syntology":null},{"url":null,"slug":"lomar-a-local-defense-against-poisoning","title":"LoMar: A Local Defense Against Poisoning Attack on Federated Learning","date":"2022-01-08","arxiv_id":"2201.02873","repositories_listed":0,"syntology":null},{"url":null,"slug":"interference-aware-cooperative-routing-for","title":"Interference Aware Cooperative Routing for Edge Computing-enabled 5G Networks","date":"2022-01-05","arxiv_id":"2201.01520","repositories_listed":0,"syntology":null},{"url":null,"slug":"supervised-learning-based-qoe-prediction-of","title":"Supervised Learning based QoE Prediction of Video Streaming in Future Networks: A Tutorial with Comparative Study","date":"2022-01-03","arxiv_id":"2202.02454","repositories_listed":0,"syntology":null},{"url":null,"slug":"socially-optimal-mechanism-design-for","title":"Socially-Optimal Mechanism Design for Incentivized Online Learning","date":"2021-12-29","arxiv_id":"2112.14338","repositories_listed":0,"syntology":null},{"url":null,"slug":"edge-robotics-edge-computing-accelerated","title":"Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous Localization and Mapping","date":"2021-12-25","arxiv_id":"2112.13222","repositories_listed":0,"syntology":null},{"url":null,"slug":"network-aware-5g-edge-computing-for-object","title":"Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to \"See\" More, Farther and Faster","date":"2021-12-25","arxiv_id":"2112.13194","repositories_listed":0,"syntology":null},{"url":null,"slug":"decentralized-task-offloading-in-edge","title":"Decentralized Task Offloading in Edge Computing: A Multi-User Multi-Armed Bandit Approach","date":"2021-12-22","arxiv_id":"2112.11818","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-edge-computing-empowered-by","title":"Dynamic Edge Computing empowered by Reconfigurable Intelligent Surfaces","date":"2021-12-21","arxiv_id":"2112.11269","repositories_listed":0,"syntology":null}],"record_sha256":"21a3e5569fece12b158d5af63b7bc2fbadd87f0f1bf3fdfae62a65a8becb4bce","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}