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Author

Tianshuo Zheng

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Preprint Aug 2026

Gradient Mirage: Trainable yet Label-Unidentifiable Gradients in Large Language Model Split Learning

The key idea is to induce the adversary to solve a misspecified inverse problem, in which no plausible label sequence in the sequence space can explain the observed gradients, by inducing inconsistency across three dimensions: objective, direction, and scale.

Shiyu Miao, Yunlong Mao, Zirui Huang et al. · 0 citations
Jul 2026

Nonlinear Bandit

An algorithm EHM is proposed that extends the adaptive Huber loss method with one-pass update with one-pass update and achieves an almost optimal regret of $\widetilde{\mathcal{O}(1)$ computational complexity with respect to current round $t$ and the time horizon $T$), which simultaneously achieves an almost optimal regret.

Tianshuo Zheng, Ting Wu, Zhi-Hua Zhou et al. · 0 citations

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