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Asynchronous Federated Learning on Heterogeneous Devices: A Survey

Asynchronous Federated Learning on Heterogeneous Devices: A Survey

9 September 2021
Chenhao Xu
Youyang Qu
Yong Xiang
Longxiang Gao
    FedML
ArXivPDFHTML

Papers citing "Asynchronous Federated Learning on Heterogeneous Devices: A Survey"

25 / 75 papers shown
Title
GitFL: Adaptive Asynchronous Federated Learning using Version Control
GitFL: Adaptive Asynchronous Federated Learning using Version Control
Ming Hu
Zeke Xia
Zhihao Yue
Jun Xia
Yihao Huang
Yang Liu
Mingsong Chen
FedML
31
14
0
22 Nov 2022
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive
  Mechanism Design
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design
Yuchang Sun
Jiawei Shao
Yuyi Mao
Songze Li
Jun Zhang
FedML
16
8
0
08 Nov 2022
Efficient and Light-Weight Federated Learning via Asynchronous
  Distributed Dropout
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout
Chen Dun
Mirian Hipolito Garcia
C. Jermaine
Dimitrios Dimitriadis
Anastasios Kyrillidis
61
20
0
28 Oct 2022
Federated Learning and Meta Learning: Approaches, Applications, and
  Directions
Federated Learning and Meta Learning: Approaches, Applications, and Directions
Xiaonan Liu
Yansha Deng
Arumugam Nallanathan
M. Bennis
54
32
0
24 Oct 2022
Latency Aware Semi-synchronous Client Selection and Model Aggregation
  for Wireless Federated Learning
Latency Aware Semi-synchronous Client Selection and Model Aggregation for Wireless Federated Learning
Liang Yu
Xiang Sun
Rana Albelaihi
Chen Yi
FedML
32
13
0
19 Oct 2022
A Survey on Heterogeneous Federated Learning
A Survey on Heterogeneous Federated Learning
Dashan Gao
Xin Yao
Qian Yang
FedML
27
58
0
10 Oct 2022
Semi-Synchronous Personalized Federated Learning over Mobile Edge
  Networks
Semi-Synchronous Personalized Federated Learning over Mobile Edge Networks
Chaoqun You
Daquan Feng
Kun Guo
Howard H. Yang
Tony Q. S. Quek
38
12
0
27 Sep 2022
An Energy Optimized Specializing DAG Federated Learning based on Event
  Triggered Communication
An Energy Optimized Specializing DAG Federated Learning based on Event Triggered Communication
Xiaofeng Xue
Haokun Mao
Qiong Li
Furong Huang
FedML
22
0
0
26 Sep 2022
An Efficient and Reliable Asynchronous Federated Learning Scheme for
  Smart Public Transportation
An Efficient and Reliable Asynchronous Federated Learning Scheme for Smart Public Transportation
Chenhao Xu
Youyang Qu
Tom H. Luan
Peter W. Eklund
Yong Xiang
Longxiang Gao
25
34
0
15 Aug 2022
One Model to Unite Them All: Personalized Federated Learning of
  Multi-Contrast MRI Synthesis
One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis
Onat Dalmaz
Muhammad Usama Mirza
Gokberk Elmas
Muzaffer Özbey
S. Dar
Emir Ceyani
Salman Avestimehr
Tolga cCukur
MedIm
31
39
0
13 Jul 2022
A General Theory for Federated Optimization with Asynchronous and
  Heterogeneous Clients Updates
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates
Yann Fraboni
Richard Vidal
Laetitia Kameni
Marco Lorenzi
FedML
19
24
0
21 Jun 2022
Pisces: Efficient Federated Learning via Guided Asynchronous Training
Pisces: Efficient Federated Learning via Guided Asynchronous Training
Zhifeng Jiang
Wei Wang
Baochun Li
Bo-wen Li
FedML
19
24
0
18 Jun 2022
AsyncFedED: Asynchronous Federated Learning with Euclidean Distance
  based Adaptive Weight Aggregation
AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation
Qiyuan Wang
Qianqian Yang
Shibo He
Zhiguo Shi
Jiming Chen
FedML
34
25
0
27 May 2022
No One Left Behind: Inclusive Federated Learning over Heterogeneous
  Devices
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices
Ruixuan Liu
Fangzhao Wu
Chuhan Wu
Yanlin Wang
Lingjuan Lyu
Hong Chen
Xing Xie
FedML
11
70
0
16 Feb 2022
FedLGA: Towards System-Heterogeneity of Federated Learning via Local
  Gradient Approximation
FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation
Xingyu Li
Zhe Qu
Bo Tang
Zhuo Lu
FedML
30
25
0
22 Dec 2021
Analysis and Evaluation of Synchronous and Asynchronous FLchain
Analysis and Evaluation of Synchronous and Asynchronous FLchain
F. Wilhelmi
L. Giupponi
Paolo Dini
18
5
0
15 Dec 2021
Eluding Secure Aggregation in Federated Learning via Model Inconsistency
Eluding Secure Aggregation in Federated Learning via Model Inconsistency
Dario Pasquini
Danilo Francati
G. Ateniese
FedML
20
101
0
14 Nov 2021
Papaya: Practical, Private, and Scalable Federated Learning
Papaya: Practical, Private, and Scalable Federated Learning
Dzmitry Huba
John Nguyen
Kshitiz Malik
Ruiyu Zhu
Michael G. Rabbat
...
H. Srinivas
Kaikai Wang
Anthony Shoumikhin
Jesik Min
Mani Malek
FedML
110
137
0
08 Nov 2021
FedPrune: Towards Inclusive Federated Learning
FedPrune: Towards Inclusive Federated Learning
Muhammad Tahir Munir
Muhammad Mustansar Saeed
Mahad Ali
Z. Qazi
I. Qazi
FedML
19
18
0
27 Oct 2021
SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT
  Systems
SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems
Chenhao Xu
Jiaqi Ge
Yong Li
Yao Deng
Longxiang Gao
Mengshi Zhang
Yong Xiang
Xi Zheng
FedML
33
14
0
12 Mar 2021
Adaptive Transmission Scheduling in Wireless Networks for Asynchronous
  Federated Learning
Adaptive Transmission Scheduling in Wireless Networks for Asynchronous Federated Learning
Hyun-Suk Lee
Jang-Won Lee
81
53
0
02 Mar 2021
FedAR: Activity and Resource-Aware Federated Learning Model for
  Distributed Mobile Robots
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots
Ahmed Imteaj
M. Amini
77
51
0
11 Jan 2021
Accurate and Fast Federated Learning via IID and Communication-Aware
  Grouping
Accurate and Fast Federated Learning via IID and Communication-Aware Grouping
Jin-Woo Lee
Jaehoon Oh
Yooju Shin
Jae-Gil Lee
Seyoul Yoon
FedML
80
16
0
09 Dec 2020
Semi-Supervised StyleGAN for Disentanglement Learning
Semi-Supervised StyleGAN for Disentanglement Learning
Weili Nie
Tero Karras
Animesh Garg
Shoubhik Debhath
Anjul Patney
Ankit B. Patel
Anima Anandkumar
DRL
89
72
0
06 Mar 2020
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
202
434
0
04 Mar 2020
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