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1903.03934
Cited By
Asynchronous Federated Optimization
10 March 2019
Cong Xie
Oluwasanmi Koyejo
Indranil Gupta
FedML
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Papers citing
"Asynchronous Federated Optimization"
50 / 101 papers shown
Title
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
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
Sanghyeon Park
Soo-Mook Moon
47
0
0
07 May 2025
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
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
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
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
Jialiang Cheng
Ning Gao
Yun Yue
Zhiling Ye
Jiadi Jiang
Jian Sha
OffRL
82
0
0
10 Dec 2024
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
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
Chuyi Chen
Zhe Zhang
Yanchao Zhao
FedML
28
0
0
07 Sep 2024
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
Pedro Valdeira
João Xavier
Cláudia Soares
Yuejie Chi
FedML
45
4
0
20 Jun 2024
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
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
Charikleia Iakovidou
Kibaek Kim
FedML
35
2
0
16 May 2024
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
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
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
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
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
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
Mohamed Elmahallawy
Tie-Mei Luo
33
3
0
28 Jan 2024
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
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
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
Danni Yang
Yun-Gyu Ji
Zhoubin Kou
Xiaoxiong Zhong
Shenglv Zhang
FedML
21
2
0
10 Oct 2023
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
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
Tomàs Ortega
Hamid Jafarkhani
FedML
33
6
0
01 Aug 2023
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
Dimitris Stripelis
J. Ambite
FedML
23
2
0
15 May 2023
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
Tuo Zhang
Lei Gao
Sunwoo Lee
Mi Zhang
Salman Avestimehr
FedML
34
28
0
14 Apr 2023
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
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
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
Marten van Dijk
Phuong Ha Nguyen
FedML
31
2
0
08 Mar 2023
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
Mohamed Elmahallawy
Tie-Mei Luo
FedML
16
27
0
27 Feb 2023
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
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
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
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
Chen Dun
Mirian Hipolito Garcia
C. Jermaine
Dimitrios Dimitriadis
Anastasios Kyrillidis
66
20
0
28 Oct 2022
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
Taha Toghani
César A. Uribe
FedML
35
14
0
03 Oct 2022
Reducing Impacts of System Heterogeneity in Federated Learning using Weight Update Magnitudes
Irene Wang
32
1
0
30 Aug 2022
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