HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients

Federated Learning Library

An implementation of efficient federated learning algorithms for heterogeneous clients

[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients

GitHub

155 stars
3 watching
33 forks
Language: Python
last commit: almost 2 years ago
deep-learningdistributed-machine-learningfederated-learningmodel-compression

Related projects:

Repository Description Stars
diaoenmao/semifl-semi-supervised-federated-learning-for-unlabeled-clients-with-alternate-training An implementation of semi-supervised federated learning for improving the performance of a server using distributed clients with unlabeled data 36
hypervoyager/pfl An implementation of heterogeneous federated learning with parallel edge and server computation 17
yuetan031/fedproto An implementation of federated learning with prototype-based methods across heterogeneous clients 134
omarfoq/fedem Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions. 157
pengyang7881187/fedrl Enabling multiple agents to learn from heterogeneous environments without sharing their knowledge or data 56
maxencenoble/differential-privacy-for-heterogeneous-federated-learning An algorithm for balancing utility and privacy in federated learning on heterogeneous data 59
aiot-mlsys-lab/fedrolex An approach to heterogeneous federated learning allowing for model training on diverse devices with varying resources. 61
xiyuanyang45/dynamicpfl A method for personalizing machine learning models in federated learning settings with adaptive differential privacy to improve performance and robustness 57
litian96/ditto A framework for personalized federated learning to balance fairness and robustness in decentralized machine learning systems. 138
yutong-dai/fednh An implementation of a federated learning framework for handling data heterogeneity in decentralized settings 38
haoyuzhao123/soteriafl Numerical experiments for private federated learning with communication compression algorithms 7
ibm/federated-learning-lib A framework for collaborative distributed machine learning in enterprise environments. 500
bytedance/feddecorr Implementation of various federated learning algorithms to mitigate dimensional collapse in heterogeneous federated learning environments 64
harliwu/fedamd This project presents an approach to federated learning with partial client participation by optimizing anchor selection for improving model accuracy and convergence. 2
lins-lab/fedbr An implementation of federated learning algorithm to reduce local learning bias and improve convergence on heterogeneous data 25