DM-PFL

Shift robust FL framework

A framework for personalized federated learning that improves shift-robustness with minimal extra training overhead

This repo accompanies the paper "DM-PFL: Hitchhiking Generic Federated Learning for Efficient Shift-Robust Personalization".

GitHub

3 stars
1 watching
0 forks
last commit: almost 3 years ago

Related projects:

RepositoryDescriptionStars
fangxiuwen/robust_flAn implementation of a robust federated learning framework for handling noisy and heterogeneous clients in machine learning.43
krishnap25/fl_partial_personalizationA framework for federated learning with partial model personalization2
ai-secure/crflThis project presents a framework for robust federated learning against backdoor attacks.71
zlijingtao/ressflDevelops techniques to improve the resistance of split learning in federated learning against model inversion attacks19
flint-xf-fan/byzantine-federated-rlProvides a framework and theoretical foundation for Federated Reinforcement Learning with Byzantine Resilience in distributed systems85
rong-dai/dispflAn implementation of a personalized federated learning framework with decentralized sparse training and peer-to-peer communication protocol.72
omarfoq/knn-perA federated learning framework with personalized memorization using deep neural networks and k-nearest neighbors for collaborative learning of statistical models43
zlz0414/feddarA framework for federated representation learning with domain awareness in multi-model scenarios.2
hongyouc/fed-rodDevelops a framework to balance competing goals in federated learning by decoupling generic and personalized prediction tasks.14
substra/substraEnables the training and validation of machine learning models on distributed datasets in a secure and scalable manner.274
hypervoyager/pflAn implementation of heterogeneous federated learning with parallel edge and server computation17
litian96/dittoA framework for personalized federated learning to balance fairness and robustness in decentralized machine learning systems.138
shenzebang/federated-learning-pytorchA PyTorch-based framework for Federated Learning experiments40
omarfoq/fedemDevelops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions.157
haozzh/fedcrEvaluates various methods for federated learning on different models and tasks.19