FedMGDA+: Federated Learning meets Multi-objective Optimization. - Zeou Hu; Kiarash Shaloudegi; Guojun Zhang; Yaoliang Yu (CoRR, 2020)

Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training. - Shangshu Qian; Hung Viet Pham; Thibaud Lutellier; Zeou Hu; Jungwon Kim; Lin Tan 001; Yaoliang Yu; Jiahao Chen 001; Sameena Shah (NeurIPS, 2021)

Splitting Algorithms for Federated Learning. - Saber Malekmohammadi; Kiarash Shaloudegi; Zeou Hu; Yaoliang Yu (PKDD/ECML Workshops (1), 2021)

An Operator Splitting View of Federated Learning. - Saber Malekmohammadi; Kiarash Shaloudegi; Zeou Hu; Yaoliang Yu (CoRR, 2021)

Federated Learning Meets Multi-Objective Optimization. - Zeou Hu; Kiarash Shaloudegi; Guojun Zhang; Yaoliang Yu (IEEE Trans. Netw. Sci. Eng., 2022)

Leveraging Variable Sparsity to Refine Pareto Stationarity in Multi-Objective Optimization. - Zeou Hu; Yaoliang Yu (ICLR, 2025)