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. 1903.03934
  4. Cited By
Asynchronous Federated Optimization

Asynchronous Federated Optimization

10 March 2019
Cong Xie
Oluwasanmi Koyejo
Indranil Gupta
    FedML
ArXivPDFHTML

Papers citing "Asynchronous Federated Optimization"

50 / 101 papers shown
Title
Argus: Federated Non-convex Bilevel Learning over 6G Space-Air-Ground Integrated Network
Argus: Federated Non-convex Bilevel Learning over 6G Space-Air-Ground Integrated Network
Ya Liu
Kai Yang
Yu Zhu
Keying Yang
Haibo Zhao
21
0
0
14 May 2025
DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information
DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information
Yun Xin
Jianfeng Lu
Shuqin Cao
Gang Li
Haozhao Wang
Guanghui Wen
FedML
32
0
0
09 May 2025
FRAIN to Train: A Fast-and-Reliable Solution for Decentralized Federated Learning
FRAIN to Train: A Fast-and-Reliable Solution for Decentralized Federated Learning
Sanghyeon Park
Soo-Mook Moon
47
0
0
07 May 2025
Pseudo-Asynchronous Local SGD: Robust and Efficient Data-Parallel Training
Pseudo-Asynchronous Local SGD: Robust and Efficient Data-Parallel Training
Hiroki Naganuma
Xinzhi Zhang
Man-Chung Yue
Ioannis Mitliagkas
Philipp A. Witte
Russell J. Hewett
Yin Tat Lee
65
0
0
25 Apr 2025
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible
Chaoyi Lu
Yiding Sun
Pengbo Li
Zhichuan Yang
FedML
39
0
0
05 Apr 2025
LiteChain: A Lightweight Blockchain for Verifiable and Scalable Federated Learning in Massive Edge Networks
Handi Chen
Rui Zhou
Yun-Hin Chan
Zhihan Jiang
Xianhao Chen
Edith C.H. Ngai
55
0
0
06 Mar 2025
InFL-UX: A Toolkit for Web-Based Interactive Federated Learning
InFL-UX: A Toolkit for Web-Based Interactive Federated Learning
Tim Maurer
Abdulrahman Mohamed Selim
Hasan Md Tusfiqur Alam
Matthias Eiletz
Michael Barz
Daniel Sonntag
FedML
54
0
0
06 Mar 2025
MAB-Based Channel Scheduling for Asynchronous Federated Learning in Non-Stationary Environments
MAB-Based Channel Scheduling for Asynchronous Federated Learning in Non-Stationary Environments
Zehan Li
Yubo Yang
Tao Yang
X. Wu
Ziyu Guo
Bo Hu
64
0
0
03 Mar 2025
Orthogonal Calibration for Asynchronous Federated Learning
Jiayun Zhang
Shuheng Li
Haiyu Huang
Xiaofan Yu
Rajesh K. Gupta
Jingbo Shang
FedML
65
0
0
21 Feb 2025
EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models
EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models
Jialiang Cheng
Ning Gao
Yun Yue
Zhiling Ye
Jiadi Jiang
Jian Sha
OffRL
82
0
0
10 Dec 2024
SoK: Decentralized AI (DeAI)
SoK: Decentralized AI (DeAI)
Zhipeng Wang
Rui Sun
Elizabeth Lui
Vatsal Shah
Xihan Xiong
Jiahao Sun
Davide Crapis
William Knottenbelt
104
1
0
26 Nov 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework
Zilinghan Li
Shilan He
Ze Yang
Minseok Ryu
Kibaek Kim
Ravi K. Madduri
FedML
63
6
0
17 Sep 2024
FedModule: A Modular Federated Learning Framework
FedModule: A Modular Federated Learning Framework
Chuyi Chen
Zhe Zhang
Yanchao Zhao
FedML
28
0
0
07 Sep 2024
Decentralized Federated Learning with Model Caching on Mobile Agents
Decentralized Federated Learning with Model Caching on Mobile Agents
Xiaoyu Wang
Guojun Xiong
Houwei Cao
Jian Li
Yong Liu
FedML
36
1
0
26 Aug 2024
Communication-efficient Vertical Federated Learning via Compressed Error Feedback
Communication-efficient Vertical Federated Learning via Compressed Error Feedback
Pedro Valdeira
João Xavier
Cláudia Soares
Yuejie Chi
FedML
47
4
0
20 Jun 2024
Distributed Stochastic Gradient Descent with Staleness: A Stochastic Delay Differential Equation Based Framework
Distributed Stochastic Gradient Descent with Staleness: A Stochastic Delay Differential Equation Based Framework
Siyuan Yu
Wei Chen
H. V. Poor
32
0
0
17 Jun 2024
Asynchronous Byzantine Federated Learning
Asynchronous Byzantine Federated Learning
Bart Cox
Abele Malan
Lydia Y. Chen
Jérémie Decouchant
50
1
0
03 Jun 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
42
1
0
04 May 2024
Robustness of Decentralised Learning to Nodes and Data Disruption
Robustness of Decentralised Learning to Nodes and Data Disruption
Luigi Palmieri
C. Boldrini
Lorenzo Valerio
A. Passarella
M. Conti
János Kertész
39
1
0
03 May 2024
Apodotiko: Enabling Efficient Serverless Federated Learning in
  Heterogeneous Environments
Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments
Mohak Chadha
Alexander Jensen
Jianfeng Gu
Osama Abboud
Michael Gerndt
31
0
0
22 Apr 2024
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
Guangchen Lan
Dong-Jun Han
Abolfazl Hashemi
Vaneet Aggarwal
Christopher G. Brinton
124
15
0
09 Apr 2024
Spectral Co-Distillation for Personalized Federated Learning
Spectral Co-Distillation for Personalized Federated Learning
Zihan Chen
Howard H. Yang
Tony Q.S. Quek
Kai Fong Ernest Chong
OOD
FedML
32
13
0
29 Jan 2024
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices
  with On-Demand Staleness Control
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control
Xiaocheng Li
Si-ren Liu
Zimu Zhou
Bin Guo
Yuan Xu
Zhiwen Yu
35
0
0
29 Jan 2024
Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO
  Satellite Learning
Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning
Mohamed Elmahallawy
Tie-Mei Luo
33
3
0
28 Jan 2024
FedASMU: Efficient Asynchronous Federated Learning with Dynamic
  Staleness-aware Model Update
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model Update
Ji Liu
Juncheng Jia
Tianshi Che
Chao Huo
Jiaxiang Ren
Yang Zhou
H. Dai
Dejing Dou
24
32
0
10 Dec 2023
Federated Learning on Edge Sensing Devices: A Review
Federated Learning on Edge Sensing Devices: A Review
Berrenur Saylam
Ozlem Durmaz Incel
34
1
0
02 Nov 2023
Optimization of Federated Learning's Client Selection for Non-IID Data
  Based on Grey Relational Analysis
Optimization of Federated Learning's Client Selection for Non-IID Data Based on Grey Relational Analysis
Shuaijun Chen
Omid Tavallaie
Michael Henri Hambali
S. M. Zandavi
Hamed Haddadi
Nicholas D. Lane
Song Guo
Albert Y. Zomaya
FedML
34
1
0
12 Oct 2023
Asynchronous Federated Learning with Incentive Mechanism Based on
  Contract Theory
Asynchronous Federated Learning with Incentive Mechanism Based on Contract Theory
Danni Yang
Yun-Gyu Ji
Zhoubin Kou
Xiaoxiong Zhong
Shenglv Zhang
FedML
21
2
0
10 Oct 2023
Convergence Analysis of Decentralized ASGD
Convergence Analysis of Decentralized ASGD
Mauro Dalle Lucca Tosi
Martin Theobald
31
2
0
07 Sep 2023
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly
  Detection in IoT Networks
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks
Wenbin Zhai
Feng Wang
L. Liu
Youwei Ding
Wanyi Lu
32
0
0
23 Aug 2023
Asynchronous Federated Learning with Bidirectional Quantized
  Communications and Buffered Aggregation
Asynchronous Federated Learning with Bidirectional Quantized Communications and Buffered Aggregation
Tomàs Ortega
Hamid Jafarkhani
FedML
33
6
0
01 Aug 2023
Aggregating Capacity in FL through Successive Layer Training for
  Computationally-Constrained Devices
Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices
Kilian Pfeiffer
R. Khalili
J. Henkel
FedML
44
5
0
26 May 2023
Federated Learning over Harmonized Data Silos
Federated Learning over Harmonized Data Silos
Dimitris Stripelis
J. Ambite
FedML
23
2
0
15 May 2023
A Blockchain-based Platform for Reliable Inference and Training of
  Large-Scale Models
A Blockchain-based Platform for Reliable Inference and Training of Large-Scale Models
Sanghyeon Park
Junmo Lee
Soo-Mook Moon
46
1
0
06 May 2023
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with
  Adaptive Partial Training
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training
Tuo Zhang
Lei Gao
Sunwoo Lee
Mi Zhang
Salman Avestimehr
FedML
34
28
0
14 Apr 2023
Asynchronous Federated Continual Learning
Asynchronous Federated Continual Learning
Donald Shenaj
Marco Toldo
Alberto Rigon
Pietro Zanuttigh
FedML
CLL
26
34
0
07 Apr 2023
Adaptive Federated Learning via New Entropy Approach
Adaptive Federated Learning via New Entropy Approach
Shensheng Zheng
Wenhao Yuan
Xuehe Wang
Ling-Yu Duan
FedML
OOD
28
1
0
27 Mar 2023
FS-Real: Towards Real-World Cross-Device Federated Learning
FS-Real: Towards Real-World Cross-Device Federated Learning
Daoyuan Chen
Dawei Gao
Yuexiang Xie
Xuchen Pan
Zitao Li
Yaliang Li
Bolin Ding
Jingren Zhou
117
26
0
23 Mar 2023
Considerations on the Theory of Training Models with Differential
  Privacy
Considerations on the Theory of Training Models with Differential Privacy
Marten van Dijk
Phuong Ha Nguyen
FedML
31
2
0
08 Mar 2023
A Multi-Agent Adaptive Deep Learning Framework for Online Intrusion
  Detection
A Multi-Agent Adaptive Deep Learning Framework for Online Intrusion Detection
Mahdi Soltani
Khashayar Khajavi
M. J. Siavoshani
A. Jahangir
20
7
0
05 Mar 2023
Optimizing Federated Learning in LEO Satellite Constellations via
  Intra-Plane Model Propagation and Sink Satellite Scheduling
Optimizing Federated Learning in LEO Satellite Constellations via Intra-Plane Model Propagation and Sink Satellite Scheduling
Mohamed Elmahallawy
Tie-Mei Luo
FedML
16
27
0
27 Feb 2023
Async-HFL: Efficient and Robust Asynchronous Federated Learning in
  Hierarchical IoT Networks
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks
Xiaofan Yu
L. Cherkasova
Hars Vardhan
Quanling Zhao
Emily Ekaireb
Xiyuan Zhang
A. Mazumdar
T. Rosing
17
24
0
17 Jan 2023
HiFlash: Communication-Efficient Hierarchical Federated Learning with
  Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association
HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association
Qiong Wu
Xu Chen
Ouyang Tao
Zhi Zhou
Xiaoxi Zhang
Shusen Yang
Junshan Zhang
37
44
0
16 Jan 2023
IronForge: An Open, Secure, Fair, Decentralized Federated Learning
IronForge: An Open, Secure, Fair, Decentralized Federated Learning
Guangsheng Yu
Xu Wang
Caijun Sun
Qin Wang
Ping Yu
Wei Ni
R. Liu
Xiwei Xu
OOD
AI4CE
29
25
0
07 Jan 2023
A Survey on Federated Recommendation Systems
A Survey on Federated Recommendation Systems
Zehua Sun
Yonghui Xu
Yong-Jin Liu
Weiliang He
Lanju Kong
Fangzhao Wu
Y. Jiang
Li-zhen Cui
FedML
29
60
0
27 Dec 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
66
20
0
28 Oct 2022
PersA-FL: Personalized Asynchronous Federated Learning
PersA-FL: Personalized Asynchronous Federated Learning
Taha Toghani
Soomin Lee
César A. Uribe
FedML
52
6
0
03 Oct 2022
Unbounded Gradients in Federated Learning with Buffered Asynchronous
  Aggregation
Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation
Taha Toghani
César A. Uribe
FedML
35
14
0
03 Oct 2022
Reducing Impacts of System Heterogeneity in Federated Learning using
  Weight Update Magnitudes
Reducing Impacts of System Heterogeneity in Federated Learning using Weight Update Magnitudes
Irene Wang
32
1
0
30 Aug 2022
123
Next