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Splitfed learning without client-side synchronization: Analyzing
  client-side split network portion size to overall performance

Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance

19 September 2021
Praveen Joshi
Chandra Thapa
S. Çamtepe
M. Hasanuzzamana
T. Scully
Haithem Afli
    FedML
ArXivPDFHTML

Papers citing "Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance"

10 / 10 papers shown
Title
Efficient Federated Split Learning for Large Language Models over Communication Networks
Efficient Federated Split Learning for Large Language Models over Communication Networks
Kai Zhao
Zhaohui Yang
35
0
0
20 Apr 2025
Advanced Relay-Based Collaborative Framework for Optimizing Synchronization in Split Federated Learning over Wireless Networks
Advanced Relay-Based Collaborative Framework for Optimizing Synchronization in Split Federated Learning over Wireless Networks
Haoran Gao
Samuel D. Okegbile
Jun Cai
FedML
38
0
0
18 Mar 2025
Model Partition and Resource Allocation for Split Learning in Vehicular
  Edge Networks
Model Partition and Resource Allocation for Split Learning in Vehicular Edge Networks
Lu Yu
Zheng Chang
Yunjian Jia
Geyong Min
20
0
0
11 Nov 2024
ParallelSFL: A Novel Split Federated Learning Framework Tackling
  Heterogeneity Issues
ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity Issues
Yunming Liao
Yang Xu
Hongli Xu
Zhiwei Yao
Liusheng Huang
C. Qiao
FedML
24
5
0
02 Oct 2024
Non-Federated Multi-Task Split Learning for Heterogeneous Sources
Non-Federated Multi-Task Split Learning for Heterogeneous Sources
Yilin Zheng
A. Eryilmaz
FedML
25
0
0
31 May 2024
Split Learning in 6G Edge Networks
Split Learning in 6G Edge Networks
Zhengyi Lin
Guanqiao Qu
Xianhao Chen
Kaibin Huang
8
70
0
21 Jun 2023
SLPerf: a Unified Framework for Benchmarking Split Learning
SLPerf: a Unified Framework for Benchmarking Split Learning
Tianchen Zhou
Zhanyi Hu
Bingzhe Wu
Cen Chen
FedML
9
4
0
04 Apr 2023
Efficient Parallel Split Learning over Resource-constrained Wireless
  Edge Networks
Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks
Zhengyi Lin
Guangyu Zhu
Yiqin Deng
Xianhao Chen
Yue Gao
Kaibin Huang
Yuguang Fang
21
95
0
26 Mar 2023
Split Learning without Local Weight Sharing to Enhance Client-side Data
  Privacy
Split Learning without Local Weight Sharing to Enhance Client-side Data Privacy
Ngoc Duy Pham
Tran Dang Khoa Phan
A. Abuadbba
Yansong Gao
Doan Nguyen
Naveen Chilamkurti
23
5
0
01 Dec 2022
Combined Federated and Split Learning in Edge Computing for Ubiquitous
  Intelligence in Internet of Things: State of the Art and Future Directions
Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future Directions
Qiang Duan
Shijing Hu
Ruijun Deng
Zhihui Lu
FedML
23
61
0
20 Jul 2022
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