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FedAC: An Adaptive Clustered Federated Learning Framework for
Heterogeneous Data

FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data

25 March 2024

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 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 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 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 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 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 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 Aviv Shamsian Aviv Navon Ethan Fetaya Gal Chechik FedML 118 334 0 08 Mar 2021
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 FedML AI4CE 256 6,261 0 10 Dec 2019
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 Felix Sattler K. Müller Wojciech Samek FedML 146 1,005 0 04 Oct 2019
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

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