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Book Open access Sep 2026

Coflow Scheduling in Hybrid-Switched Data Center Networks under Not-All-Stop Reconfiguration

Scheduling parallel data flows (a coflow) across two computation stages of a job over data center networks (DCNs) is crucial to the completion of the job. To meet the growing demands of data-intensive applications, the hybrid-switched design combining an optical circuit switch (OCS) and an electrical packet switch (EPS...

Xin Wang, Hong Shen, Hui Tian · 0 citations
Preprint Aug 2026

AEGIS: Attention-Embedding Gradient Isolation Shield - Triple-Channel Gradient Masking for Privacy-Preserving Federated LLM Fine-Tuning

Gradient inversion attacks recover private training text from gradients shared in federated learning, posing a serious threat to collaborative model training. Through our analysis of transformer gradient structure, we identify three channels through which private token information leaks: the attention output projection...

Ye Tao, Hong Shen, Hui Tian et al. · 0 citations
#machine learning Preprint Sep 2026

Robust Decentralized Federated Distillation via Multi-Modality Knowledge Collaboration

This paper shows that the proposed method ensures a bounded Byzantine influence on both distillation gradients and individual client private gradients after cross-modality fusion, thereby enabling stable local optimization for honest clients under Byzantine distillation.

Xiao Ma, Hong Shen, Hui Tian et al. · 0 citations

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