Probabilistic Client Sampling and Power Allocation for Wireless Federated Learning. - Wen Xu 008; Ben Liang 001; Gary Boudreau; Hamza Umit Sokun (PIMRC, 2023)

Distributed Minimax Fair Optimization over Hierarchical Networks. - Wen Xu 008; Juncheng Wang 001; Ben Liang 001; Gary Boudreau; Hamza Umit Sokun (ICPP, 2024)

Client Sampling for Communication-Efficient Distributed Minimax Optimization. - Wen Xu 008; Ben Liang 001; Gary Boudreau; Hamza Umit Sokun (INFOCOM, 2025)

A Flexible Fairness Framework with Surrogate Loss Reweighting for Addressing Sociodemographic Disparities. - Wen Xu 008; Elham Dolatabadi (CoRR, 2025)

Clipper: Online Joint Client Sampling and Power Allocation for Wireless Federated Learning. - Wen Xu 008; Ben Liang 001; Gary Boudreau; Hamza Umit Sokun (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2025)