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Author

Sai Zou

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Jul 2026

HermesHFL: Incentive-Compatible Hierarchical Federated Unlearning for Dynamic LLM Fine-Tuning

Her HermesHFL, a hierarchical federated learning framework that supports selective unlearning, dynamic client participation, and client reintegration for scalable LLM fine-tuning via parameter-efficient fine-tuning (PEFT) with LoRA, is proposed and developed.

Chenxi Sun, Minghui Liwang, Wu-Si He et al. · 0 citations
2026

CRAM: Cooperative Resource Allocation With Spotlighting for Zero-Interruption ISAC Networks

The emergence of sixth-generation (6G) communication systems promotes an integrated sensing and communications (ISAC) framework to address growing demands for seamless connectivity. This paper proposes a cooperative resource allocation method (CRAM) that enables uninterrupted service for mobile terminals (MTs) moving a...

Sai Zou, Meifang Wang, Minghui Liwang 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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