2 papers
math.OC2026
Bilevel Optimization with Lower-Level Uniform Convexity: Theory and Algorithm
Yuman Wu, Xiaochuan Gong, Jie Hao +1
Bilevel optimization is a hierarchical framework where an upper-level optimization problem is constrained by a lower-level problem, commonly used in machine learning applications s…
cs.LG2025
Personalized Federated Fine-tuning for Heterogeneous Data: An Automatic Rank Learning Approach via Two-Level LoRA
Jie Hao, Yuman Wu, Ali Payani +2
We study the task of personalized federated fine-tuning with heterogeneous data in the context of language models, where clients collaboratively fine-tune a language model (e.g., B…