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You-Liang Tian

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#federated learning Open access Sep 2026

RetFL: a privacy-preserving and traceable framework for robust federated learning

RetFL is proposed, a CKKS-enabled robust aggregation framework for DFL that establishes a decentralized training workflow with VRF-based candidate selection and view change, and designs a weighted aggregation scheme that incorporates cosine similarity and a dynamic reputation mechanism to weight updates and suppress pe...

Yi-Cheng Huang, Zhou Zhou, You-Liang Tian et al. · 0 citations
#edge computing Sep 2026

Toward 6G Edge Intelligence: Lightweight LLMs for Intent-Driven Network Automation

Future 6G networks are envisaged to tightly integrate communication, sensing, and computing, demanding real-time, intent-driven intelligence at the edge. While large language models (LLMs) excel in intent recognition and semantic reasoning, their application to real-time network lifecycle management at the edge is limi...

Bing Wu, Sai Zou, Minghui Liwang et al. · 4 citations

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