2 citations · 2 across the 4 of their papers we have counts for
4 papers
Certified Unlearning in Decentralized Federated Learning
Hengliang Wu, Youming Tao, Anhao Zhou +3
Driven by the right to be forgotten (RTBF), machine unlearning has become an essential requirement for privacy-preserving machine learning. However, its realization in decentralize…
Adaptive pruning-based Newton's method for distributed learning
Shuzhen Chen, Yuan Yuan, Youming Tao +3
Newton's method leverages curvature information to boost performance, and thus outperforms first-order methods for distributed learning problems. However, Newton's method is not pr…
Decentralized Wireless Federated Learning with Differential Privacy
Shuzhen Chen, Dongxiao Yu, Yifei Zou +2
This paper studies decentralized federated learning algorithms in wireless IoT networks. The traditional parameter server architecture for federated learning faces some problems su…
A Distributed Privacy-Preserving Learning Dynamics in General Social Networks
Youming Tao, Shuzhen Chen, Feng Li +3
In this paper, we study a distributed privacy-preserving learning problem in social networks with general topology. The agents can communicate with each other over the network, whi…