Label Enhancement via Cross-View Fusion and Mixed Graph Propagation
Meng-Jiao Kai, Chao Tan, Yan-Da Wang et al.
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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.
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