Edge-computing

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

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Subtasks archive 2025-07-28

2 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 223 papers with code (1,279 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Residual-INR: Communication Efficient On-Device Learning Using Implicit Neural Representation
  10 Aug 2024 3 repositories listed
  However, as the scale of the edge computing system is getting larger, communication among devices is becoming the bottleneck because of the limited bandwidth of wireless communication leads to large data transfer…
• Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection
  16 May 2024 3 repositories listed Syntology ran 1 of 2 samples · 1 unverified
  Empirical results demonstrate the effectiveness of Grounding DINO 1.
• TransVisDrone: Spatio-Temporal Transformer for Vision-based Drone-to-Drone Detection in Aerial Videos
  16 Oct 2022 3 repositories listed
  Drone-to-drone detection using visual feed has crucial applications, such as detecting drone collisions, detecting drone attacks, or coordinating flight with other drones.
• AxiomVision: Accuracy-Guaranteed Adaptive Visual Model Selection for Perspective-Aware Video Analytics
  29 Jul 2024 2 repositories listed
  The rapid evolution of multimedia and computer vision technologies requires adaptive visual model deployment strategies to effectively handle diverse tasks and varying environments.
• Combinatorial Client-Master Multiagent Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing
  18 Feb 2024 2 repositories listed
  Task offloading in MEC is a strategy that meets the demands of UDs by distributing tasks between UDs and MEC servers.
• Hardware-Efficient Deconvolution-Based GAN for Edge Computing
  18 Jan 2022 2 repositories listed
  Generative Adversarial Networks (GAN) are cutting-edge algorithms for generating new data samples based on the learned data distribution.
• HRNET: AI on Edge for mask detection and social distancing
  30 Nov 2021 2 repositories listed
  The framework further equips government agency, system providers to design and constructs technology-oriented models in community setup to Increase the quality of life using emerging technologies into smart urban…
• Supervised Compression for Resource-Constrained Edge Computing Systems
  21 Aug 2021 2 repositories listed Syntology ran 1 of 17 samples · 16 unverified · 1 pointer-only (licence)
  There has been much interest in deploying deep learning algorithms on low-powered devices, including smartphones, drones, and medical sensors.
• Canonical-Correlation-Based Fast Feature Selection for Structural Health Monitoring
  15 Jun 2021 2 repositories listed
  Feature selection refers to the process of selecting useful features for machine learning tasks, and it is also a key step for structural health monitoring (SHM).
• Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval
  28 May 2021 2 repositories listed
  Extremely high data rates at modern synchrotron and X-ray free-electron laser light source beamlines motivate the use of machine learning methods for data reduction, feature detection, and other purposes.
• DONE: Distributed Approximate Newton-type Method for Federated Edge Learning
  10 Dec 2020 2 repositories listed
  In this work, we propose DONE, a distributed approximate Newton-type algorithm with fast convergence rate for communication-efficient federated edge learning.
• Systolic-CNN: An OpenCL-defined Scalable Run-time-flexible FPGA Accelerator Architecture for Accelerating Convolutional Neural Network Inference in Cloud/Edge Computing
  6 Dec 2020 2 repositories listed
  Systolic-CNN is also run-time-flexible in the context of multi-tenancy cloud/edge computing, which can be time-shared to accelerate a variety of CNN models at run time without the need of recompiling the FPGA kernel…
• Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing Systems
  20 Nov 2020 2 repositories listed
  In this paper, we propose to modify the structure and training process of DNN models for complex image classification tasks to achieve in-network compression in the early network layers.
• Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks
  31 Jul 2020 2 repositories listed
  However, poor conditions of the wireless channel connecting the mobile devices to the edge servers may degrade the overall capture-to-output delay achieved by edge offloading.
• Split Computing for Complex Object Detectors: Challenges and Preliminary Results
  27 Jul 2020 2 repositories listed
  Following the trends of mobile and edge computing for DNN models, an intermediate option, split computing, has been attracting attentions from the research community.
• Graph Markov Network for Traffic Forecasting with Missing Data
  10 Dec 2019 2 repositories listed
  Although missing values can be imputed, existing data imputation methods normally need long-term historical traffic state data.
• Scientific Image Restoration Anywhere
  12 Nov 2019 2 repositories listed
  We explore this question by evaluating the performance and accuracy of a scientific image restoration model, for which both model input and output are images, on edge computing devices.
• Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems
  1 Oct 2019 2 repositories listed
  Offloading the execution of complex Deep Neural Networks (DNNs) models to compute-capable devices at the network edge, that is, edge servers, can significantly reduce capture-to-output delay.
• On the Convergence of FedAvg on Non-IID Data
  4 Jul 2019 2 repositories listed Syntology ran 5 of 5 samples · 0 unverified · 2 pointer-only (licence)
  In this paper, we analyze the convergence of \texttt{FedAvg} on non-iid data and establish a convergence rate of 𝒪(1/T) for strongly convex and smooth problems, where T is the number of SGDs.
• Decentralized Computation Offloading for Multi-User Mobile Edge Computing: A Deep Reinforcement Learning Approach
  16 Dec 2018 2 repositories listed
  Numerical results are illustrated to demonstrate that efficient policies can be learned at each user, and performance of the proposed DDPG based decentralized strategy outperforms the conventional deep Q-network (DQN)…
• Efficient Deployment of Spiking Neural Networks on SpiNNaker2 for DVS Gesture Recognition Using Neuromorphic Intermediate Representation
  4 Sep 2025 1 repository listed
  To address this limitation, we present the first benchmark for the DVS gesture recognition task using SNNs optimized for the many-core neuromorphic chip SpiNNaker2.
• Dual‑detector Re‑optimization for Federated Weakly Supervised Video Anomaly Detection Via Adaptive Dynamic Recursive Mapping
  13 Jun 2025 1 repository listed
  Federated weakly supervised video anomaly detection represents a significant advancement in privacy-preserving collaborative learning, enabling distributed clients to train anomaly detectors using only video-level…
• Agile Reinforcement Learning for Real-Time Task Scheduling in Edge Computing
  10 Jun 2025 1 repository listed
  Accordingly, reinforcement learning algorithms have been incorporated into schedulers to address the complexity and dynamic conditions inherent in task scheduling in edge computing.
• Edge-Enabled Collaborative Object Detection for Real-Time Multi-Vehicle Perception
  6 Jun 2025 1 repository listed
  To address these challenges, we introduce an innovative framework, Edge-Enabled Collaborative Object Detection (ECOD) for CAVs, that leverages edge computing and multi-CAV collaboration for real-time, multi-perspective…
• FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration
  25 May 2025 1 repository listed
  With the advancement of edge computing, federated learning (FL) displays a bright promise as a privacy-preserving collaborative learning paradigm.
• The More is not the Merrier: Investigating the Effect of Client Size on Federated Learning
  11 Apr 2025 1 repository listed
  We find a significant deterioration of learning accuracy for FedAvg as the number of clients increases.
• Cooperative Inference for Real-Time 3D Human Pose Estimation in Multi-Device Edge Networks
  3 Apr 2025 1 repository listed
  We numerically analyze the performance of the proposed inference method in terms of the inference accuracy and end-to-end delay and formulate a joint optimization problem to derive the optimal confidence thresholds and…
• PolygoNet: Leveraging Simplified Polygonal Representation for Effective Image Classification
  1 Apr 2025 1 repository listed
  This work demonstrates the potential of polygonal representations in advancing efficient and scalable deep learning solutions for real world scenarios.
• Intelligent IoT Attack Detection Design via ODLLM with Feature Ranking-based Knowledge Base
  27 Mar 2025 1 repository listed
  The widespread adoption of Internet of Things (IoT) devices has introduced significant cybersecurity challenges, particularly with the increasing frequency and sophistication of Distributed Denial of Service (DDoS)…
• Mobility-aware Seamless Service Migration and Resource Allocation in Multi-edge IoV Systems
  11 Mar 2025 1 repository listed
  Mobile Edge Computing (MEC) offers low-latency and high-bandwidth support for Internet-of-Vehicles (IoV) applications.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.