dynamic client participation 1hierarchical federated learning 1incentive allocation 1large language models 1model unlearning 1parameter-efficient fine-tuning 1
From the 1 of 3 linked papers with an AI index.
3 papers
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…
cs.NI2025
Digital Twin-Assisted Task Offloading and Resource Allocation in ISAC-Enabled Internet of Vehicles
Shanhao Zhan, Zhang Liu, Lianfen Huang +4
The convergence of the Internet of vehicles (IoV) and 6G networks is driving the evolution of next-generation intelligent transportation systems. However, IoV networks face persist…
cs.NI2025
Generative AI for Lyapunov Optimization Theory in UAV-based Low-Altitude Economy Networking
Zhang Liu, Dusit Niyato, Jiacheng Wang +4
Lyapunov optimization theory has recently emerged as a powerful mathematical framework for solving complex stochastic optimization problems by transforming long-term objectives int…