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FedBC: Calibrating Global and Local Models via Federated Learning Beyond Consensus
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FedBC: Calibrating Global and Local Models via Federated Learning Beyond Consensus

Amrit Singh Bedi
Chen Fan
Alec Koppel
Anit Kumar Sahu
Brian M Sadler
Furong Huang
Tianyi Zhou
ArXiv (abs)PDFHTML

Papers citing "FedBC: Calibrating Global and Local Models via Federated Learning Beyond Consensus"

2 / 2 papers shown
Title
Robust Fully-Asynchronous Methods for Distributed Training over General Architecture
Robust Fully-Asynchronous Methods for Distributed Training over General Architecture
Zehan Zhu
Ye Tian
Yan Huang
Jinming Xu
Shibo He
OOD
78
2
0
21 Jul 2023
A One-shot Framework for Distributed Clustered Learning in Heterogeneous Environments
A One-shot Framework for Distributed Clustered Learning in Heterogeneous Environments
Aleksandar Armacki
Dragana Bajović
D. Jakovetić
S. Kar
FedML
69
5
0
22 Sep 2022

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