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FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization

FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization

J. Carrillo
Nicolas García Trillos
Sixu Li
Yuhua Zhu
ArXiv (abs)PDFHTML

Papers citing "FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization"

2 / 2 papers shown
Title
Gradient is All You Need?
Gradient is All You Need?
Konstantin Riedl
T. Klock
Carina Geldhauser
M. Fornasier
57
8
0
16 Jun 2023
Leveraging Memory Effects and Gradient Information in Consensus-Based Optimization: On Global Convergence in Mean-Field Law
Leveraging Memory Effects and Gradient Information in Consensus-Based Optimization: On Global Convergence in Mean-Field Law
Konstantin Riedl
66
16
0
22 Nov 2022

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