2 papers
cs.CL2026
Self Knowledge Re-expression: A Fully Local Method for Adapting LLMs to Tasks Using Intrinsic Knowledge
Mengyu Wang, Xiaoying Zhi, Zhiyi Li +4
While the next-token prediction (NTP) paradigm enables large language models (LLMs) to express their intrinsic knowledge, its sequential nature constrains performance on specialize…
cs.LG2025
MAB-Based Channel Scheduling for Asynchronous Federated Learning in Non-Stationary Environments
Zhiyin Li, Yubo Yang, Tao Yang +3
Federated learning enables distributed model training across clients without raw data exchange, but in wireless implementations, frequent parameter updates cause high communication…