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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Dong Zhang

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Aug 2026

When Federated Prompt Learning Fails: Understanding and Mitigating Cross-Domain Prompt Interference.

Federated prompt learning (FPL) offers a parameter-efficient way to adapt large-scale vision-language models by collaboratively optimizing lightweight prompts across distributed clients. Existing approaches typically assume that prompts learned on heterogeneous domains can be safely aggregated. We show that this assump...

Yun-Feng Zhao, Jun Wang, Dong Wu et al. · 0 citations
Book Open access Aug 2026

Continuous Causal Component and Structure Discovery from Time Series

It is theoretically show that latent causal components and their causal relationships can be identified up to permutation equivalence by modeling synchronous sparsity in the mapping between latent components and observed variables.

Dezhi Yang, Jun Wang, C. Domeniconi et al. · 0 citations
Conference Jul 2026

STON: Scaling Torus-Based AI Training Clusters via Optical Circuit Switches

Torus networks are deployed in production AI training clusters for their path diversity and low latency, but 2D Torus scales poorly: electrical packet switches compromise latency, and high-dimensional Torus introduces excessive routing complexity. We present STON (Scalable TOrus Network), a hierarchical architecture th...

Qinwei Yang, Peirui Cao, Ruyi Zhang et al. · 0 citations

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