Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2310.19558
Cited By
v1
v2 (latest)
Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification
IEEE Internet of Things Journal (IEEE IoT J.), 2023
30 October 2023
Yiwei Li
Chien-Wei Huang
Shuai Wang
Chong-Yung Chi
Tony Q.S. Quek
FedML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification"
2 / 2 papers shown
Title
Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation
Yiwei Li
Shuai Wang
Zhuojun Tian
X. Wang
Shijian Su
FedML
88
0
0
30 Sep 2025
A Multivocal Literature Review on Privacy and Fairness in Federated Learning
Wirtschaftsinformatik (WI), 2024
Beatrice Balbierer
Lukas Heinlein
Domenique Zipperling
Niklas Kühl
123
1
0
16 Aug 2024
1