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

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

22 June 2022
Amrit Singh Bedi
Chen Fan
Alec Koppel
Anit Kumar Sahu
Brian M. Sadler
Furong Huang
Dinesh Manocha
    FedML
ArXivPDFHTML

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

3 / 3 papers shown
Title
Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD
Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD
Chen Fan
Parikshit Ram
Sijia Liu
FedML
61
16
0
15 Sep 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
209
840
0
01 Mar 2021
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Q. Li
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
87
946
0
03 Feb 2021
1