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DualFL: A Duality-based Federated Learning Algorithm with Communication
  Acceleration in the General Convex Regime

DualFL: A Duality-based Federated Learning Algorithm with Communication Acceleration in the General Convex Regime

17 May 2023
Jongho Park
Jinchao Xu
    FedML
ArXivPDFHTML

Papers citing "DualFL: A Duality-based Federated Learning Algorithm with Communication Acceleration in the General Convex Regime"

2 / 2 papers shown
Title
Accelerating Distributed Optimization: A Primal-Dual Perspective on
  Local Steps
Accelerating Distributed Optimization: A Primal-Dual Perspective on Local Steps
Junchi Yang
Murat Yildirim
Qiu Feng
27
0
0
02 Jul 2024
Linear Convergence in Federated Learning: Tackling Client Heterogeneity
  and Sparse Gradients
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients
A. Mitra
Rayana H. Jaafar
George J. Pappas
Hamed Hassani
FedML
55
157
0
14 Feb 2021
1