Cloud Computing

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Most implemented papers archive 2025-07-28

30 shown of 97 papers with code (581 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.

• AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
  1 Jun 2023 12 repositories listed Syntology ran 12 of 18 samples · 6 unverified · 2 pointer-only (licence)
  We propose Activation-aware Weight Quantization (AWQ), a hardware-friendly approach for LLM low-bit weight-only quantization.
• Agnostic Federated Learning
  1 Feb 2019 7 repositories listed Syntology ran 3 of 10 samples · 7 unverified
  A key learning scenario in large-scale applications is that of federated learning, where a centralized model is trained based on data originating from a large number of clients.
• ADGym: Design Choices for Deep Anomaly Detection
  27 Sep 2023 3 repositories listed Syntology ran 1 of 11 samples · 10 unverified · 2 pointer-only (licence)
  Deep learning (DL) techniques have recently found success in anomaly detection (AD) across various fields such as finance, medical services, and cloud computing.
• A deep learning based steganography integration framework for ad-hoc cloud computing data security augmentation using the V-BOINC system
  21 Dec 2022 3 repositories listed
  The goal of this study is to come up with a way to improve steganography in ad hoc cloud systems by using deep learning.
• SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion
  18 Jun 2019 3 repositories listed
  The availability of curated large-scale training data is a crucial factor for the development of well-generalizing deep learning methods for the extraction of geoinformation from multi-sensor remote sensing imagery.
• All-in-one foundational models learning across quantum chemical levels
  18 Sep 2024 2 repositories listed
  Here we introduce the all-in-one (AIO) ANI model architecture based on multimodal learning which can learn an arbitrary number of QC levels.
• Federated Prompt Learning for Weather Foundation Models on Devices
  23 May 2023 2 repositories listed
  On-device intelligence for weather forecasting uses local deep learning models to analyze weather patterns without centralized cloud computing, holds significance for supporting human activates.
• Forecasting Workload in Cloud Computing: Towards Uncertainty-Aware Predictions and Transfer Learning
  24 Feb 2023 2 repositories listed
  Results show that modelling the uncertainty of predictions has a positive impact on performance, especially on service level metrics, because uncertainty quantification can be tailored to desired target service levels…
• VMAgent: Scheduling Simulator for Reinforcement Learning
  9 Dec 2021 2 repositories listed
  A novel simulator called VMAgent is introduced to help RL researchers better explore new methods, especially for virtual machine scheduling.
• Acting in Delayed Environments with Non-Stationary Markov Policies
  28 Jan 2021 2 repositories listed Syntology ran 3 of 7 samples · 4 unverified
  We introduce a framework for learning and planning in MDPs where the decision-maker commits actions that are executed with a delay of m steps.
• Optimizing Deep Learning Recommender Systems' Training On CPU Cluster Architectures
  10 May 2020 2 repositories listed
  During the last two years, the goal of many researchers has been to squeeze the last bit of performance out of HPC system for AI tasks.
• GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy
  18 May 2025 1 repository listed Syntology ran 0 of 6 samples · 6 unverified
  However, the performance of DRL is heavily influenced by the design of the problem-tailored policy network and is highly sensitive to hyperparameters and the design of reward feedback.
• Enhanced Outsourced and Secure Inference for Tall Sparse Decision Trees
  4 May 2025 1 repository listed
  Therefore, in this paper, we propose a new decision tree inference protocol in which the model is shared and evaluated among multiple entities.
• InTec: integrated things-edge computing: a framework for distributing machine learning pipelines in edge AI systems
  17 Feb 2025 1 repository listed
  In response to these challenges, this study introduces the InTec (Integrated Things Edge Computing) framework, a groundbreaking innovation in IoT architecture.
• Persistence of Backdoor-based Watermarks for Neural Networks: A Comprehensive Evaluation
  6 Jan 2025 1 repository listed
  Deep Neural Networks (DNNs) have gained considerable traction in recent years due to the unparalleled results they gathered.
• Toward Intelligent and Secure Cloud: Large Language Model Empowered Proactive Defense
  30 Dec 2024 1 repository listed
  The rapid evolution of cloud computing technologies and the increasing number of cloud applications have provided a large number of benefits in daily lives.
• Privacy-Enhanced Data Sharing Systems from Hierarchical ID-Based Puncturable Functional Encryption with Inner Product Predicates
  28 Sep 2024 1 repository listed
  Considering secure computing for multilevel users in enterprises, the notion of hierarchical identity-based inner product functional encryption (HIB-IPFE) is proposed.
• Cluster-Wide Task Slowdown Detection in Cloud System
  8 Aug 2024 1 repository listed
  To tackle these challenges, we propose SORN (i.
• Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-Making
  2 Aug 2024 1 repository listed
  The surging demand for cloud computing resources, driven by the rapid growth of sophisticated large-scale models and data centers, underscores the critical importance of efficient and adaptive resource allocation.
• Comparing Deep Learning Models for Rice Mapping in Bhutan Using High Resolution Satellite Imagery
  11 Jun 2024 1 repository listed
  For this independent model evaluation, the U-Net RGBN, RGBNE, RGBNES, and RGBN models displayed the F1-scores of 0.
• Privacy-Preserving Deep Learning Using Deformable Operators for Secure Task Learning
  8 Apr 2024 1 repository listed
  To address these challenges, we propose a novel Privacy-Preserving framework that uses a set of deformable operators for secure task learning.
• Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing
  8 Jan 2024 1 repository listed
  Therefore, if a workflow with more number of dependencies is not scheduled onto an appropriate Virtual Machine i.
• IMPaCT: Interval MDP Parallel Construction for Controller Synthesis of Large-Scale Stochastic Systems
  7 Jan 2024 1 repository listed
  This paper is concerned with developing a software tool, called IMPaCT, for the parallelized verification and controller synthesis of large-scale stochastic systems using interval Markov chains (IMCs) and interval…
• LiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion Detection
  14 Nov 2023 1 repository listed
  As the main network of in-vehicle networks, the controller area network (CAN) has many potential security hazards, resulting in higher generalization capability and lighter security requirements for intrusion detection…
• CloudEval-YAML: A Practical Benchmark for Cloud Configuration Generation
  10 Nov 2023 1 repository listed
  We develop the CloudEval-YAML benchmark with practicality in mind: the dataset consists of hand-written problems with unit tests targeting practical scenarios.
• Deep learning based Image Compression for Microscopy Images: An Empirical Study
  2 Nov 2023 1 repository listed
  In the end, we hope the present study could shed light on the potential of deep learning based image compression and the impact of image compression on downstream deep learning based image analysis models.
• MLatom 3: Platform for machine learning-enhanced computational chemistry simulations and workflows
  31 Oct 2023 1 repository listed
  MLatom 3 is a program package designed to leverage the power of ML to enhance typical computational chemistry simulations and to create complex workflows.
• Federated learning compression designed for lightweight communications
  23 Oct 2023 1 repository listed
  Federated Learning (FL) is a promising distributed method for edge-level machine learning, particularly for privacysensitive applications such as those in military and medical domains, where client data cannot be shared…
• Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial Examples
  19 Oct 2023 1 repository listed
  Extensive experiments demonstrate that 1) the classification accuracy of the classifier trained in the plaintext domain remains the same in both the ciphertext and plaintext domains; 2) the encrypted images can be…
• FastAiAlloc: A real-time multi-resources allocation framework proposal based on predictive model and multiple optimization strategies
  9 Aug 2023 1 repository listed
  To integrate these steps, this work proposes a framework based on the following strategies, widely used in the literature: Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Linear Programming, besides our…

Syntology lines on 5 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.