1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2026
Gradient Mirage: Trainable yet Label-Unidentifiable Gradients in Large Language Model Split Learning
Shiyu Miao, Yunlong Mao, Zirui Huang +5
Gradient matching attacks (GMAs) in LLM split learning (SL) rely on a critical yet underexplored assumption: the gradient exposed at the split interface is a faithful derivative of…
cs.LG2026
Nonlinear Bandit
Tianshuo Zheng, Ting Wu, Zhi-Hua Zhou +1
In this paper we first study the problem of generalized linear bandit (GLB) under heavy-tailed noise. The characteristics of heavy-tailed distributions are widely observed in real-…
cs.LG2011★ 1 cited
Extended UCB Policies for Multi-armed Bandit Problems
Keqin Liu, Tianshuo Zheng, Zhi-Hua Zhou
The multi-armed bandit (MAB) problems are widely studied in fields of operations research, stochastic optimization, and reinforcement learning. In this paper, we consider the class…