mtuann/federated-learning-updated-papers

Papers related to Federated Learning in all top venues

Size: 4.22 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 23 - Forks: 2

pittisl/FL-with-intertwined-heterogeneity

Language: Python - Size: 2.69 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0

OsamaM0/FedGreedy-Federated-Learning-System

Federated Learning (FL) is a collaborative machine learning approach that enables decentralized data processing. Instead of collecting and storing data in a central server, FL trains machine learning models directly on devices or servers where the data resides, enhancing privacy and security.

Language: Python - Size: 160 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

nicolagulmini/federated_learning

Library to simulate a distributed learning scenario, with clusters of users that train models minimizing a local cost function, and a server that wants to minimize a global cost function. The aim of the project is to study the tradeoff between local and global accuracy.

Size: 218 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 3

tmlr-group/SFAT Fork of ZFancy/SFAT

[ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"

Language: Python - Size: 8.01 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

ZFancy/SFAT

[ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"

Language: Python - Size: 8.01 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 20 - Forks: 3

basiralab/MICNet

Multigraph fusion and classification network using graph neural network

Language: Python - Size: 686 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 0