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cs.LG2025
Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease
Harsh Ravivarapu, Gaurav Bagwe, Xiaoyong Yuan +2
Deep brain stimulation (DBS) is an established intervention for Parkinson's disease (PD), but conventional open-loop systems lack adaptability, are energy-inefficient due to contin…
cs.LG2025
You Don't Need All Attentions: Distributed Dynamic Fine-Tuning for Foundation Models
Shiwei Ding, Lan Zhang, Zhenlin Wang +2
Fine-tuning plays a crucial role in adapting models to downstream tasks with minimal training efforts. However, the rapidly increasing size of foundation models poses a daunting ch…