3 papers
cs.LG2026
Optimizing Stochastic Gradient Push under Broadcast Communications
Tuan Nguyen, Ting He
We consider the problem of minimizing the convergence time for decentralized federated learning (DFL) in wireless networks under broadcast communications, with focus on mixing matr…
cs.LG2025
Time-varying Mixing Matrix Design for Energy-efficient Decentralized Federated Learning
Xusheng Zhang, Tuan Nguyen, Ting He
We consider the design of mixing matrices to minimize the operation cost for decentralized federated learning (DFL) in wireless networks, with focus on minimizing the maximum per-n…
cs.LG2024
Active Learning for WBAN-based Health Monitoring
Cho-Chun Chiu, Tuan Nguyen, Ting He +3
We consider a novel active learning problem motivated by the need of learning machine learning models for health monitoring in wireless body area network (WBAN). Due to the limited…