Masterchef2000's Stars
shengcaishizhan/kkndme_tianya
天涯 kkndme 神贴聊房价
ccfddl/ccf-deadlines
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
hwanz/SSR-V2ray-Trojan
机场推荐与机场评测
litian96/FedProx
Federated Optimization in Heterogeneous Networks (MLSys '20)
WwZzz/easyFL
An experimental platform for federated learning.
GeorgeCazenavette/mtt-distillation
Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"
rui-ye/OpenFedLLM
JeffffffFu/Awesome-Differential-Privacy-and-Meachine-Learning
机器学习和差分隐私的论文笔记和代码仓
apachecn/apachecn-sec-zh
ApacheCN 网络安全译文集
felisat/clustered-federated-learning
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
zhengli97/CTKD
[AAAI 2023] Official PyTorch Code for "Curriculum Temperature for Knowledge Distillation"
epfml/federated-learning-public-code
litian96/ditto
Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
marswhu/HFL_Survey
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
jichan3751/ifca
Codebase for An Efficient Framework for Clustered Federated Learning.
TsingZ0/HtFLlib
Configure one file for model heterogeneity. Consistent GPU memory usage for single or multiple clients.
visitworld123/FedFed
[NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"
ray-project/rayfed
A multiple parties joint, distributed execution engine based on Ray, to help build your own federated learning frameworks in minutes.
FLAIR-THU/VFLAIR
THU-AIR Vertical Federated Learning general, extensible and light-weight framework
Lee-Gihun/FedNTD
(NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"
Sungwon-Han/FEDX
MediaBrain-SJTU/FedDisco
tfzhou/FedFA
ICLR 2023 - FedFA: Federated Feature Augmentation
ZexiLee/ICML-2023-FedLAW
The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".
xiyuanyang45/DynamicPFL
nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy
lebyni/PFA
woodenchild95/FL-Simulator
Pytorch implementations of some general federated optimization methods.
hjraad/FLT
shaojiawei07/Selective-FD
ceh-2000/fed_cvae
Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.