Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence-Reference-Cited by-同舟云学术

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Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence

Published:2024-04-14 Issue: Volume:2 Page:7595-7599
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Zheng Shu¹,Ye Tiandi¹,Li Xiang¹,Gao Ming¹

Affiliation:

1. East China Normal University,School of Data Science and Engineering,Shanghai,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10446892.pdf?arnumber=10446892

Reference16 articles.

1. Federated learning with non-iid data;Zhao,2018

2. On the convergence of fedavg on non-iid data;Li

3. Federated optimization in heterogeneous networks;Li

4. FedDANE: A Federated Newton-Type Method

5. Scaffold: Stochastic controlled averaging for federated learning;Karimireddy;ICML

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