Collaborative Split Federated Learning with Parallel Training and Aggregation

22 April 2025

Papers citing "Collaborative Split Federated Learning with Parallel Training and Aggregation"

7 / 7 papers shown

Title
Client Selection in Federated Learning: Principles, Challenges, and Opportunities Lei Fu Huan Zhang Ge Gao Mi Zhang Xin Liu FedML 41 123 0 03 Nov 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning Liam Collins Hamed Hassani Aryan Mokhtari Sanjay Shakkottai FedML 52 77 0 27 May 2022
Asynchronous Federated Learning on Heterogeneous Devices: A Survey Chenhao Xu Youyang Qu Yong Xiang Longxiang Gao FedML 115 249 0 09 Sep 2021
SplitFed: When Federated Learning Meets Split Learning Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe Lichao Sun FedML 50 573 0 25 Apr 2020
Model Pruning Enables Efficient Federated Learning on Edge Devices Yuang Jiang Shiqiang Wang Victor Valls Bongjun Ko Wei-Han Lee Kin K. Leung Leandros Tassiulas 43 454 0 26 Sep 2019
Training Neural Networks with Local Error Signals Arild Nøkland L. Eidnes 51 226 0 20 Jan 2019
Split learning for health: Distributed deep learning without sharing raw patient data Praneeth Vepakomma O. Gupta Tristan Swedish Ramesh Raskar FedML 78 694 0 03 Dec 2018