2 papers
cs.LG2026
On the Fragility of Data Attribution When Learning Is Distributed
Xian Gao, Bo Hui, Min-Te Sun +1
Data attribution has become an important component of pricing, auditing, and governance in machine learning pipelines, yet most attribution methods implicitly assume that attributi…
cs.LG2025
Optimized Local Updates in Federated Learning via Reinforcement Learning
Ali Murad, Bo Hui, Wei-Shinn Ku
Federated Learning (FL) is a distributed framework for collaborative model training over large-scale distributed data, enabling higher performance while maintaining client data pri…