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FedAC: An Adaptive Clustered Federated Learning Framework for
  Heterogeneous Data
v1v2 (latest)

FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data

25 March 2024
Yuxin Zhang
Haoyu Chen
Zheng Lin
Zhe Chen
Jin Zhao
    FedML
ArXiv (abs)PDFHTML

Papers citing "FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data"

12 / 12 papers shown
Title
Secure Resource Allocation via Constrained Deep Reinforcement Learning
Secure Resource Allocation via Constrained Deep Reinforcement Learning
Jianfei Sun
Qiang Gao
Cong Wu
Yuxian Li
Jiacheng Wang
Dusit Niyato
83
1
0
20 Jan 2025
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Guanqiao Qu
Qiyuan Chen
Wei Wei
Zheng Lin
Xianhao Chen
Kaibin Huang
113
55
0
09 Jul 2024
AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks
AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks
Zhengyi Lin
Guanqiao Qu
Wei Wei
Xianhao Chen
Kin K. Leung
86
51
0
19 Mar 2024
Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities
Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities
Senkang Hu
Zhengru Fang
Yiqin Deng
Xianhao Chen
Yuguang Fang
88
28
0
03 Jan 2024
Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities
Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities
Zhengyi Lin
Guanqiao Qu
Qiyuan Chen
Randy Sarayar
Zhe Chen
Kaibin Huang
64
98
0
28 Sep 2023
Federated Multi-Task Learning under a Mixture of Distributions
Federated Multi-Task Learning under a Mixture of Distributions
Othmane Marfoq
Giovanni Neglia
A. Bellet
Laetitia Kameni
Richard Vidal
FedML
105
278
0
23 Aug 2021
Multi-Center Federated Learning: Clients Clustering for Better Personalization
Guodong Long
Ming Xie
Tao Shen
Dinesh Manocha
Xianzhi Wang
Jing Jiang
Chengqi Zhang
FedML
57
251
0
19 Aug 2021
Personalized Federated Learning using Hypernetworks
Personalized Federated Learning using Hypernetworks
Aviv Shamsian
Aviv Navon
Ethan Fetaya
Gal Chechik
FedML
118
334
0
08 Mar 2021
Advances and Open Problems in Federated Learning
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedMLAI4CE
256
6,261
0
10 Dec 2019
Federated Learning with Personalization Layers
Federated Learning with Personalization Layers
Manoj Ghuhan Arivazhagan
V. Aggarwal
Aaditya Kumar Singh
Sunav Choudhary
FedML
90
840
0
02 Dec 2019
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task
  Optimization under Privacy Constraints
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
Felix Sattler
K. Müller
Wojciech Samek
FedML
149
1,005
0
04 Oct 2019
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
406
17,486
0
17 Feb 2016
1