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Anarchic Federated Learning

Anarchic Federated Learning

23 August 2021
Haibo Yang
Xin Zhang
Prashant Khanduri
Jia Liu
    FedML
ArXivPDFHTML

Papers citing "Anarchic Federated Learning"

13 / 13 papers shown
Title
Online-Score-Aided Federated Learning: Taming the Resource Constraints in Wireless Networks
Online-Score-Aided Federated Learning: Taming the Resource Constraints in Wireless Networks
Md Ferdous Pervej
Minseok Choi
A. Molisch
33
0
0
12 Aug 2024
Asynchronous Federated Stochastic Optimization for Heterogeneous
  Objectives Under Arbitrary Delays
Asynchronous Federated Stochastic Optimization for Heterogeneous Objectives Under Arbitrary Delays
Charikleia Iakovidou
Kibaek Kim
FedML
35
2
0
16 May 2024
Understanding Server-Assisted Federated Learning in the Presence of
  Incomplete Client Participation
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation
Haibo Yang
Pei-Yuan Qiu
Prashant Khanduri
Minghong Fang
Jia Liu
FedML
40
1
0
04 May 2024
Distributed Personalized Empirical Risk Minimization
Distributed Personalized Empirical Risk Minimization
Yuyang Deng
Mohammad Mahdi Kamani
Pouria Mahdavinia
M. Mahdavi
26
4
0
26 Oct 2023
Keep It Simple: Fault Tolerance Evaluation of Federated Learning with
  Unreliable Clients
Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients
Victoria Huang
S. Sohail
Michael Mayo
T. Lorido-Botran
Mark Rodrigues
Chris Anderson
Melanie Ooi
FedML
18
2
0
16 May 2023
On the Local Cache Update Rules in Streaming Federated Learning
On the Local Cache Update Rules in Streaming Federated Learning
Heqiang Wang
Jieming Bian
Jie Xu
24
4
0
28 Mar 2023
Federated Gradient Matching Pursuit
Federated Gradient Matching Pursuit
Halyun Jeong
Deanna Needell
Jing Qin
FedML
37
1
0
20 Feb 2023
Taming Fat-Tailed ("Heavier-Tailed'' with Potentially Infinite Variance)
  Noise in Federated Learning
Taming Fat-Tailed ("Heavier-Tailed'' with Potentially Infinite Variance) Noise in Federated Learning
Haibo Yang
Pei-Yuan Qiu
Jia Liu
FedML
27
12
0
03 Oct 2022
A Snapshot of the Frontiers of Client Selection in Federated Learning
A Snapshot of the Frontiers of Client Selection in Federated Learning
Gergely Németh
M. Lozano
Novi Quadrianto
Nuria Oliver
FedML
102
14
0
27 Sep 2022
NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized
  Federated Learning with Heterogeneous Data
NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data
Xin Zhang
Minghong Fang
Zhuqing Liu
Haibo Yang
Jia-Wei Liu
Zhengyuan Zhu
FedML
17
14
0
17 Aug 2022
Straggler-Resilient Personalized Federated Learning
Straggler-Resilient Personalized Federated Learning
Isidoros Tziotis
Zebang Shen
Ramtin Pedarsani
Hamed Hassani
Aryan Mokhtari
FedML
31
9
0
05 Jun 2022
A Field Guide to Federated Optimization
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
187
411
0
14 Jul 2021
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,687
0
14 Apr 2018
1