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Decentralized Federated Learning: A Survey and Perspective

Decentralized Federated Learning: A Survey and Perspective

2 June 2023
Liangqi Yuan
Ziran Wang
Lichao Sun
Philip S. Yu
Christopher G. Brinton
    FedML
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Papers citing "Decentralized Federated Learning: A Survey and Perspective"

27 / 27 papers shown
Title
Decentralized Low-Rank Fine-Tuning of Large Language Models
Sajjad Ghiasvand
Mahnoosh Alizadeh
Ramtin Pedarsani
ALM
71
0
0
26 Jan 2025
OledFL: Unleashing the Potential of Decentralized Federated Learning via
  Opposite Lookahead Enhancement
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement
Qinglun Li
Miao Zhang
Mengzhu Wang
Quanjun Yin
Li Shen
OODD
FedML
26
0
0
09 Oct 2024
Byzantine-Robust Aggregation for Securing Decentralized Federated
  Learning
Byzantine-Robust Aggregation for Securing Decentralized Federated Learning
Diego Cajaraville-Aboy
Ana Fernández-Vilas
R. Redondo
Manuel Fernández-Veiga
42
2
0
26 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
Federated learning in food research
Federated learning in food research
Zuzanna Fendor
Bas H. M. van der Velden
Xinxin Wang
Andrea Jr. Carnoli
Osman Mutlu
Ali Hürriyetoğlu
FedML
46
0
0
10 Jun 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors
Chun-Yin Huang
Kartik Srinivas
Xin Zhang
Xiaoxiao Li
DD
58
6
0
19 May 2024
Decentralized Personalized Federated Learning based on a Conditional
  Sparse-to-Sparser Scheme
Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme
Qianyu Long
Qiyuan Wang
Christos Anagnostopoulos
Daning Bi
FedML
28
0
0
24 Apr 2024
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning
  without Labels
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labels
Satyavrat Wagle
Seyyedali Hosseinalipour
Naji Khosravan
Christopher G. Brinton
FedML
40
2
0
15 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
Cooperative Federated Learning over Ground-to-Satellite Integrated
  Networks: Joint Local Computation and Data Offloading
Cooperative Federated Learning over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading
Dong-Jun Han
Seyyedali Hosseinalipour
David J. Love
Mung Chiang
Christopher G. Brinton
FedML
32
11
0
23 Dec 2023
Federated Learning for Connected and Automated Vehicles: A Survey of
  Existing Approaches and Challenges
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges
Vishnu Pandi Chellapandi
Liangqi Yuan
Christopher G. Brinton
Stanislaw H. .Zak
Ziran Wang
FedML
38
75
0
21 Aug 2023
Asynchronous Multi-Model Dynamic Federated Learning over Wireless
  Networks: Theory, Modeling, and Optimization
Asynchronous Multi-Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and Optimization
Zhangyu Chang
Seyyedali Hosseinalipour
M. Chiang
Christopher G. Brinton
26
3
0
22 May 2023
A Survey of Trustworthy Federated Learning with Perspectives on
  Security, Robustness, and Privacy
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy
Yifei Zhang
Dun Zeng
Jinglong Luo
Zenglin Xu
Irwin King
FedML
84
47
0
21 Feb 2023
Semi-decentralized Federated Ego Graph Learning for Recommendation
Semi-decentralized Federated Ego Graph Learning for Recommendation
Liang Qu
Ningzhi Tang
Ruiqi Zheng
Quoc Viet Hung Nguyen
Zi Huang
Yuhui Shi
Hongzhi Yin
FedML
77
51
0
10 Feb 2023
Trustworthy Federated Learning via Blockchain
Trustworthy Federated Learning via Blockchain
Zhanpeng Yang
Yuanming Shi
Yong Zhou
Zixin Wang
Kai Yang
34
68
0
13 Aug 2022
Communication-Efficient Stochastic Zeroth-Order Optimization for
  Federated Learning
Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning
Wenzhi Fang
Ziyi Yu
Yuning Jiang
Yuanming Shi
Colin N. Jones
Yong Zhou
FedML
78
57
0
24 Jan 2022
Decentralized Wireless Federated Learning with Differential Privacy
Decentralized Wireless Federated Learning with Differential Privacy
Shuzhen Chen
Dongxiao Yu
Yifei Zou
Jiguo Yu
Xiuzhen Cheng
43
50
0
19 Sep 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
209
846
0
01 Mar 2021
Federated Learning over Wireless Device-to-Device Networks: Algorithms
  and Convergence Analysis
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis
Hong Xing
Osvaldo Simeone
Suzhi Bi
45
94
0
29 Jan 2021
Towards Energy Efficient Federated Learning over 5G+ Mobile Devices
Towards Energy Efficient Federated Learning over 5G+ Mobile Devices
Dian Shi
Liang Li
Rui Chen
Pavana Prakash
Miao Pan
Yuguang Fang
33
44
0
13 Jan 2021
Opportunities of Federated Learning in Connected, Cooperative and
  Automated Industrial Systems
Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems
S. Savazzi
M. Nicoli
M. Bennis
Sanaz Kianoush
Luca Barbieri
FedML
AIFin
AI4CE
40
126
0
09 Jan 2021
Device Sampling for Heterogeneous Federated Learning: Theory,
  Algorithms, and Implementation
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation
Su Wang
Mengyuan Lee
Seyyedali Hosseinalipour
Roberto Morabito
M. Chiang
Christopher G. Brinton
FedML
82
110
0
04 Jan 2021
Federated Learning in Unreliable and Resource-Constrained Cellular
  Wireless Networks
Federated Learning in Unreliable and Resource-Constrained Cellular Wireless Networks
M. Salehi
Ekram Hossain
FedML
51
82
0
09 Dec 2020
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Othmane Marfoq
Chuan Xu
Giovanni Neglia
Richard Vidal
FedML
67
85
0
23 Oct 2020
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,709
0
18 Mar 2020
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
202
436
0
04 Mar 2020
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
1,688
0
14 Apr 2018
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