liyipeng00's Stars
jgraph/drawio-desktop
Official electron build of draw.io
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
lixin4ever/Conference-Acceptance-Rate
Acceptance rates for the major AI conferences
jbhuang0604/awesome-tips
innovation-cat/Awesome-Federated-Machine-Learning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
youngfish42/Awesome-FL
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
google-research/federated
A collection of Google research projects related to Federated Learning and Federated Analytics.
weimingwill/awesome-federated-learning
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
KarhouTam/FL-bench
Benchmark of federated learning. Dedicated to the community. 🤗
IBM/federated-learning-lib
A library for federated learning (a distributed machine learning process) in an enterprise environment.
vaseline555/Federated-Learning-in-PyTorch
Handy PyTorch implementation of Federated Learning (for your painless research)
SymbioticLab/FedScale
FedScale is a scalable and extensible open-source federated learning (FL) platform.
LeoMax-Xiong/bookshelf
:books: books
QinbinLi/MOON
Model-Contrastive Federated Learning (CVPR 2021)
zhuangdizhu/FedGen
Code and data accompanying the FedGen paper
BayesWatch/cinic-10
A drop-in replacement for CIFAR-10.
PatrykChrabaszcz/Imagenet32_Scripts
Scripts for Imagenet 32 dataset
ReproModel/repromodel
Boosting the AI research efficiency
lishenghui/blades
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
LuminLiu/HierFL
Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning
hendrycks/pre-training
Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
FLAIR-THU/VFLAIR
THU-AIR Vertical Federated Learning general, extensible and light-weight framework
s-huu/Ditto
ZexiLee/ICML-2023-FedLAW
The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".
woodenchild95/FL-Simulator
Pytorch implementations of some general federated optimization methods.
savertm/Sageflow
Sageflow: Robust Federated Learning against Both Stragglers and Adversaries at NeurIPS'21
IBM/fedau
Code for ICLR 2024 paper "A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging"
C3atUofU/Hierarchical-SGD
hongliny/Sharp-Bounds-for-FedAvg-and-Continuous-Perspective
IBM/fl-arbitrary-participation
Code for paper "A Unified Analysis of Federated Learning with Arbitrary Client Participation"