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. 2108.06869
  4. Cited By
FedChain: Chained Algorithms for Near-Optimal Communication Cost in
  Federated Learning

FedChain: Chained Algorithms for Near-Optimal Communication Cost in Federated Learning

16 August 2021
Charlie Hou
K. K. Thekumparampil
Giulia Fanti
Sewoong Oh
    FedML
ArXivPDFHTML

Papers citing "FedChain: Chained Algorithms for Near-Optimal Communication Cost in Federated Learning"

11 / 11 papers shown
Title
PrE-Text: Training Language Models on Private Federated Data in the Age
  of LLMs
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
Charlie Hou
Akshat Shrivastava
Hongyuan Zhan
Rylan Conway
Trang Le
Adithya Sagar
Giulia Fanti
Daniel Lazar
24
8
0
05 Jun 2024
The Limits and Potentials of Local SGD for Distributed Heterogeneous
  Learning with Intermittent Communication
The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication
Kumar Kshitij Patel
Margalit Glasgow
Ali Zindari
Lingxiao Wang
Sebastian U. Stich
Ziheng Cheng
Nirmit Joshi
Nathan Srebro
39
6
0
19 May 2024
Hierarchical Over-the-Air Federated Learning with Awareness of
  Interference and Data Heterogeneity
Hierarchical Over-the-Air Federated Learning with Awareness of Interference and Data Heterogeneity
Seyed Mohammad Azimi-Abarghouyi
Viktoria Fodor
17
6
0
02 Jan 2024
Leveraging Function Space Aggregation for Federated Learning at Scale
Leveraging Function Space Aggregation for Federated Learning at Scale
Nikita Dhawan
Nicole Mitchell
Zachary B. Charles
Zachary Garrett
Gintare Karolina Dziugaite
FedML
8
3
0
17 Nov 2023
Heterogeneous Federated Learning: State-of-the-art and Research
  Challenges
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye
Xiuwen Fang
Bo Du
PongChi Yuen
Dacheng Tao
FedML
AAML
29
244
0
20 Jul 2023
Personalized Federated Learning under Mixture of Distributions
Personalized Federated Learning under Mixture of Distributions
Yue Wu
Shuaicheng Zhang
Wenchao Yu
Yanchi Liu
Quanquan Gu
Dawei Zhou
Haifeng Chen
Wei Cheng
FedML
66
39
0
01 May 2023
Federated Automatic Differentiation
Federated Automatic Differentiation
Keith Rush
Zachary B. Charles
Zachary Garrett
FedML
32
1
0
18 Jan 2023
Scalable Hierarchical Over-the-Air Federated Learning
Scalable Hierarchical Over-the-Air Federated Learning
Seyed Mohammad Azimi-Abarghouyi
Viktoria Fodor
13
11
0
29 Nov 2022
To Store or Not? Online Data Selection for Federated Learning with
  Limited Storage
To Store or Not? Online Data Selection for Federated Learning with Limited Storage
Chen Gong
Zhenzhe Zheng
Yunfeng Shao
Bingshuai Li
Fan Wu
Guihai Chen
12
15
0
01 Sep 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
183
541
0
30 Mar 2020
1