2 papers
cs.LG2026
Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation
Yiwei Li, Shuai Wang, Zhuojun Tian +2
Federated Learning (FL) often adopts differential privacy (DP) to protect client data, but the added noise required for privacy guarantees can substantially degrade model accuracy.…
cs.LG2025
Communication-Efficient Personalized Distributed Learning with Data and Node Heterogeneity
Zhuojun Tian, Zhaoyang Zhang, Yiwei Li +1
To jointly tackle the challenges of data and node heterogeneity in decentralized learning, we propose a distributed strong lottery ticket hypothesis (DSLTH), based on which a commu…