CSharpYDS

adaptive-federated-learning

Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"

argos

Privacy-aware service migration strategy for edge computing environments

Asynchronous-Federated-Learning-Based-Mobility-aware-Caching-in-Vehicular-Edge-Computing

awesome-edge-computing

A curated list of awesome edge computing, including Frameworks, Simulators, Tools, etc.

BlockChain

Distributed Energy Resources Parameter Monitoring in Microgrids Using Blockchain and Edge Computing.

Computation-offloading-based-on-DQN

Joint strategy design on edge computing offloading based on deep reinforcement learning

CSI4101-software-capstone-design

Network aware load balancing for edge/cloud computing using deep reinforcement learning

edge-computing-Q-learning

Q learning and DQN

MEC_offloading

Code for Intelligent Dynamic Data Offloading in a Competitive Mobile Edge Computing Market paper https://www.mdpi.com/1999-5903/11/5/118/pdf

Mobile_Edge_Computing

reproduction of some papers about MEC

CSharpYDS/Game-Theoretic-Deep-Reinforcement-Learning

Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.

CSharpYDS/MAMO-Deep-Reinforcement-Learning

CSharpYDS/MARLspectrumSharingV2X

Spectrum sharing in vehicular networks based on multi-agent reinforcement learning, IEEE Journal on Selected Areas in Communications

CSharpYDS/MIMO-D2D

code

CSharpYDS/MIMO-NOMA_AoI_GA

CSharpYDS/awesome-chatgpt-project

1.chatGPT注册 2.chatGPT成品项目整理 3.高效使用chatGPT的小技巧 4.调教指南 ↓演示网站

CSharpYDS/By-AFLDDPG

CSharpYDS/caching

implementation of Prediction, Collaborative and Replacement (PCR) caching algorithm for edge computing

CSharpYDS/DRL-MEC

缓存辅助卸载

CSharpYDS/Edge-Caching-Based-on-Multi-Agent-Deep-Reinforcement-Learning-and-Federated-Learning

CSharpYDS/Edge-Computing-and-Caching-Optimization-based-on-PPO-for-Task-Offloading-in-RSU-assisted-IoV

CSharpYDS/FLIS

FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution

CSharpYDS/gpt4free

decentralising the Ai Industry, free gpt-4/3.5 scripts through several reverse engineered api's ( poe.com, phind.com, chat.openai.com, writesonic.com, sqlchat.ai, t3nsor.com, you.com etc...)

CSharpYDS/HDLOA

Learning-Based Load-Aware Heterogeneous Vehicle Edge Computing

CSharpYDS/IGNITE

CSharpYDS/Incentive-based-Probability-Update-and-Strategy-Selection

Code of Paper "Potential Game Based Channel Allocation for Vehicular Edge Computing (基于势博弈的车载边缘计算信道分配方法)", 电子学报2021.

CSharpYDS/kubeedge

Kubernetes Native Edge Computing Framework (project under CNCF)

CSharpYDS/ML-RL-simulations

A multi-layer guided reinforcement learning-based tasks offloading in edge computing - Simulations

CSharpYDS/MultiLevelFL

It is for the work Globecom 2019, Toward Cooperative Caching for vehicular with multi-level Federate Reinforcement Learning

CSharpYDS/NIID-Bench

Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

CSharpYDS/offloading-optimization-and-resource-optimization-base-on-mobile-edge-computing-net

基于边缘计算网络的卸载优化及资源优化

CSharpYDS/QOCO

A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing

CSharpYDS/Task-Offloading-in-Vfc-Assisted-Platoons

CSharpYDS/Task-Offloading-MEC-NOMA

Simulation code for"A Max-Min Task Offloading Algorithm for Mobile Edge Computing Using Non-Orthogonal Multiple Access," IEEE Trans. Veh. Technol., vol. 72, no. 9, pp. 12332 - 12337, Sep. 2023 by V. Kumar, M. F. Hanif, M. Juntti, and L.-N. Tran

CSharpYDS/UAV-DDPG

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

CSharpYDS/URLLC-Awared-Resource-Allocation-for-Heterogeneous-Vehicular-Edge-Computing

CSharpYDS/Vehicle-selection

CSharpYDS/Vehicle-selection-for-C-V2X

CSharpYDS/Vehicular-Trajectories-Processing-for-Didi-Open-Data

Vehicular trajectories processing for Didi GAIA Open Data Set

CSharpYDS/Workload-Aware-Scheduling-of-Multiple-Criticality-Real-Time-Applications-in-Vehicular-Edge-Computing