LoGo

Federated Active Learning Framework

An implementation of federated active learning with a novel sampling strategy to improve performance on decentralized machine learning tasks

Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)

GitHub

31 stars
2 watching
6 forks
Language: Python
last commit: over 1 year ago
active-learningfederated-active-learningfederated-learningpytorch

Related projects:

Repository Description Stars
ibm/federated-learning-lib A framework for collaborative distributed machine learning in enterprise environments. 500
smilelab-fl/fedlab A flexible framework for distributed machine learning where participants train local models and collaboratively optimize them without sharing data 743
aiot-mlsys-lab/fedrolex An approach to heterogeneous federated learning allowing for model training on diverse devices with varying resources. 60
xtra-computing/fedsim A framework that enables federated learning across multiple datasets while optimizing model performance with record similarities. 24
omarfoq/fedem Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions. 155
wenkehuang/fccl A framework for tackling heterogeneity and catastrophic forgetting in federated learning by leveraging cross-correlation and similarity learning 97
lxcnju/fedrepo An open-source repository implementing various federated learning algorithms with source code for multiple deep learning applications. 175
galaxylearning/gfl A decentralized federated learning framework based on blockchain and PyTorch. 243
scaleoutsystems/fedn An open source federated learning framework designed to be secure, scalable and easy-to-use for enterprise environments 144
xtra-computing/fedov Develops a framework to address label skews in one-shot federated learning by partitioning data and adapting models. 16
charliedinh/pfedme An implementation of Personalized Federated Learning with Moreau Envelopes and related algorithms using PyTorch for research and experimentation. 290
desternylin/perfed An implementation of various federated learning algorithms with a focus on communication efficiency, robustness, and fairness. 15
hypervoyager/pfl An implementation of heterogeneous federated learning with parallel edge and server computation 17
bdemo/pfedbred_public A project that proposes a novel federated learning approach to address the issue of incomplete information in personalized machine learning models 8
cuis15/fcfl An implementation of Fair and Consistent Federated Learning using Python. 20