ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.15216
  4. Cited By
A Non-parametric View of FedAvg and FedProx: Beyond Stationary Points

A Non-parametric View of FedAvg and FedProx: Beyond Stationary Points

29 June 2021
Lili Su
Jiaming Xu
Pengkun Yang
    FedML
ArXivPDFHTML

Papers citing "A Non-parametric View of FedAvg and FedProx: Beyond Stationary Points"

3 / 3 papers shown
Title
Global Convergence of Federated Learning for Mixed Regression
Global Convergence of Federated Learning for Mixed Regression
Lili Su
Jiaming Xu
Pengkun Yang
FedML
25
7
0
15 Jun 2022
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
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
186
542
0
30 Mar 2020
1