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adaptive-federated-learning

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

addressing-class-imbalance-fl

This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).

aoam

AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network

asynchronous-federated-unlearning

A new scalable federated learning research framework

balancefl

Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".

cabaret

cache-replacement-by-rl

Cache replacement Algorithm by Actor-Critic based RL

caching

cim-federated-learning-pytorch

clustered-federated-learning

Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints

ddlo

Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks

deep-q-learning-for-mobile-edge-computing

distributional-soft-actor-critic

droo

Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks

dropedge

This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

early_exit_calibration

early_exit_dnn_analysis

This code contains all code developed to analyze early-exit DNNs considering an edge-cloud architecture.

edge-computing-dataset

MEC，Edge service, Edge Application, Service Computing.

edgecachingrl

edgevit

This is an unofficial PyTorch implementation of EdgeViT in "EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers", arXiv 2022.

eua-dataset

Edge server, user dataset for Edge Computing research

fedbfpt

federated-continual-learning

Federated Continual Learning with Adaptive Parameter Communication (TF2.1)

fedu_fmtl

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.

generative-adversarial-network

DCGAN_for_MNIST_CIFAR10 in imbalanced dataset

gfl

Galaxy Federated Learning Framework （星际联邦学习框架）

gnn-rl-model-compression

GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning

gramm

Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.

graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.