Fed-RoD

Federated Learning Framework

Develops a framework to balance competing goals in federated learning by decoupling generic and personalized prediction tasks.

On Bridging Generic and Personalized Federated Learning for Image Classification

GitHub

14 stars
4 watching
1 forks
last commit: almost 3 years ago

Related projects:

Repository Description Stars
haozzh/fedcr Evaluates various methods for federated learning on different models and tasks. 17
zlz0414/feddar A framework for federated representation learning with domain awareness in multi-model scenarios. 2
xtra-computing/fedov Develops a framework to address label skews in one-shot federated learning by partitioning data and adapting models. 14
jiayunz/fedalign Develops an alignment framework for federated learning with non-identical client class sets 4
fangxiuwen/robust_fl An implementation of a robust federated learning framework for handling noisy and heterogeneous clients in machine learning. 41
kai-yue/ntk-fed A framework for federated learning that leverages the neural tangent kernel to address statistical heterogeneity in distributed machine learning. 3
wenkehuang/fccl A framework for tackling heterogeneity and catastrophic forgetting in federated learning by leveraging cross-correlation and similarity learning 97
bytedance/feddecorr Provides an implementation of various heterogeneous federated learning methods and datasets to mitigate dimensional collapse in distributed machine learning 63
krishnap25/fl_partial_personalization A framework for federated learning with partial model personalization 2
yutong-dai/fednh An implementation of a federated learning framework for handling data heterogeneity in decentralized settings 38
litian96/ditto A framework for personalized federated learning to balance fairness and robustness in decentralized machine learning systems. 137
omarfoq/fedem Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions. 154
galaxylearning/gfl A decentralized federated learning framework based on blockchain and PyTorch. 242
hongliny/fedac-neurips20 Provides code for a federated learning algorithm to optimize machine learning models in a distributed setting. 14
jinheonbaek/fed-pub Personalized Subgraph Federated Learning framework for distributed machine learning 44