SplitGP: Achieving Both Generalization and Personalization in Federated
Learning

SplitGP: Achieving Both Generalization and Personalization in Federated Learning

16 December 2022

Christopher G. Brinton

Papers citing "SplitGP: Achieving Both Generalization and Personalization in Federated Learning"

18 / 18 papers shown

Title
Personalized Hierarchical Split Federated Learning in Wireless Networks Md Ferdous Pervej Andreas F. Molisch 26 0 0 09 Nov 2024
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models Ji Liu Jiaxiang Ren Ruoming Jin Zijie Zhang Yang Zhou P. Valduriez Dejing Dou FedML 31 1 0 30 Sep 2024
Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning Wenxuan Zhou Zhihao Qu Shen-Huan Lyu Miao Cai Baoliu Ye 37 0 0 25 Aug 2024
Generalized Policy Learning for Smart Grids: FL TRPO Approach Yunxiang Li Nicolas Mauricio Cuadrado Samuel Horváth Martin Takáč 20 0 0 27 Mar 2024
NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learning Dhananjay Saikumar Blesson Varghese 16 1 0 21 Feb 2024
Entropy Aware Training for Fast and Accurate Distributed GNN Dhruv Deshmukh Gagan Raj Gupta Manisha Chawla Vishwesh Jatala Anirban Haldar 20 0 0 04 Nov 2023
When MiniBatch SGD Meets SplitFed Learning:Convergence Analysis and Performance Evaluation Chao Huang Geng Tian Ming Tang FedML 27 4 0 23 Aug 2023
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 27 75 0 21 Aug 2023
Efficient Semi-Supervised Federated Learning for Heterogeneous Participants Zhipeng Sun Yang Xu Hong-Ze Xu Liusheng Huang C. Qiao FedML 17 0 0 29 Jul 2023
Communication-Efficient Split Learning via Adaptive Feature-Wise Compression Yong-Nam Oh Jaeho Lee Christopher G. Brinton Yo-Seb Jeon MQ 28 7 0 20 Jul 2023
Decentralized Federated Learning: A Survey and Perspective Liangqi Yuan Ziran Wang Lichao Sun Philip S. Yu Christopher G. Brinton FedML 34 85 0 02 Jun 2023
EcoFed: Efficient Communication for DNN Partitioning-based Federated Learning Di Wu R. Ullah Philip Rodgers Peter Kilpatrick I. Spence Blesson Varghese FedML 27 1 0 11 Apr 2023
FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification Tianpeng Deng Yanqi Huang Guoqiang Han Zhenwei Shi Jiatai Lin Qianming Dou Zaiyi Liu Xiaohui Guo Xin Chen Chu Han FedML 42 6 0 24 Feb 2023
PiPar: Pipeline Parallelism for Collaborative Machine Learning Zihan Zhang Philip Rodgers Peter Kilpatrick I. Spence Blesson Varghese FedML 29 3 0 01 Dec 2022
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation Su Wang Mengyuan Lee Seyyedali Hosseinalipour Roberto Morabito M. Chiang Christopher G. Brinton FedML 77 110 0 04 Jan 2021
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 186 542 0 30 Mar 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 157 760 0 28 Sep 2019
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 1,685 0 14 Apr 2018