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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

Yuqing Li

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Book Open access Aug 2026

Efficient and Differentially Private Federated LLM Fine-Tuning on Heterogeneous Clients

i-FedLoRA provides privacy guarantees, improves model accuracy by up to 3.8%, and expedites training by 1.37-2.23×, and facilitates heterogeneous LoRA aggregation that selectively prioritizes high-confidence knowledge to filter DP-induced noise, thereby achieving robust knowledge transfer.

Nan Yan, Yu-Qing Li, Xiong Wang et al. · 0 citations
Book Open access Aug 2026

Efficient and Differentially Private Federated LLM Fine-Tuning on Heterogeneous Clients

i-FedLoRA provides privacy guarantees, improves model accuracy by up to 3.8%, and expedites training by 1.37-2.23×, and facilitates heterogeneous LoRA aggregation that selectively prioritizes high-confidence knowledge to filter DP-induced noise, thereby achieving robust knowledge transfer.

Nan Yan, Yuqing Li, Xiong Wang et al. · 0 citations

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