scale-fl

Federated learner

An adaptive federated learning framework for heterogeneous clients with resource constraints.

Code for ScaleFL

GitHub

29 stars
4 watching
1 forks
Language: Python
last commit: over 1 year ago

Related projects:

Repository Description Stars
litian96/ditto A framework for personalized federated learning to balance fairness and robustness in decentralized machine learning systems. 137
scaleoutsystems/fedn An open source federated learning framework designed to be secure, scalable and easy-to-use for enterprise environments 143
cuis15/fcfl An implementation of Fair and Consistent Federated Learning using Python. 20
xtra-computing/fedov Develops a framework to address label skews in one-shot federated learning by partitioning data and adapting models. 14
substra/substra Enables the training and validation of machine learning models on distributed datasets in a secure and scalable manner. 271
mediabrain-sjtu/feddisco A federated learning framework with discrepancy-aware collaboration for decentralized data training 65
gingsmith/fmtl A framework for collaborative learning across multiple tasks and datasets in a distributed manner 129
aiot-mlsys-lab/fedrolex An approach to heterogeneous federated learning allowing for model training on diverse devices with varying resources. 61
symbioticlab/fedscale A federated learning platform with tools and datasets for scalable and extensible machine learning experimentation 388
dawenzi098/sfl-structural-federated-learning A Python implementation of Personalized Federated Learning with Graph using PyTorch. 50
haozzh/fedcr Evaluates various methods for federated learning on different models and tasks. 17
diogenes0319/fedmd_clean An implementation of a heterogenous federated learning framework using model distillation. 149
mediabrain-sjtu/fedgela Federated learning algorithm designed to handle partially class-disjoint data by utilizing bilateral curation and Dirichlet partitioning. 10
lyn1874/fedpvr An implementation of a federated learning algorithm for handling heterogeneous data 6
rong-dai/dispfl An implementation of a personalized federated learning framework with decentralized sparse training and peer-to-peer communication protocol. 68