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dynamic client participation 1hierarchical federated learning 1incentive allocation 1large language models 1model unlearning 1parameter-efficient fine-tuning 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.CE2026

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

Chenxi Sun, Minghui Liwang, Wusi He +8

The paper introduces HermesHFL, a hierarchical federated learning system that enables selective unlearning and dynamic client participation for fine‑tuning large language models us…