3 accepted papers
Federated Reinforcement Learning from Human Feedback (RLHF) enables the collaborative alignment of Large Language Models (LLMs) while preserving privacy, yet it faces critical bottlenecks arising from data heterogeneity. Existing approaches typically rely on rigid client-level clustering, which over
Numerous synthesized videos from generative models, especially human-centric ones that simulate realistic human actions, pose significant threats to human information security and authenticity. While progress has been made in binary forgery video detection, the lack of fine-grained understanding of…
In remote areas without continuous internet connectivity, patients often need to travel long distances to access healthcare services. Ensuring secure and efficient healthcare in remote areas has become a significant challenge. Inspired by delay tolerant networks and identity authentication protocols…