GitHub

See, Point, Fly: A Learning-Free VLM Framework for Universal Unmanned Aerial Navigation

Zero-shot language-guided UAV control. See, Point, Fly (SPF) enables UAVs to navigate to any goal based on free-form natural language instructions in any environment, without task-specific training.
IEEE

GCFL: A Gradient Correction-Based Federated Learning Framework for Privacy-Preserving CPSS

Abstract: Federated learning, as a distributed architecture, shows great promise for applications in cyber-physical-social systems (CPSS). To mitigate the privacy risks inherent in CPSS, the ...
IEEE

EBCFL: An Efficient BlockChain-Based Federated Learning Framework for Internet of Vehicles

Abstract: Federated Learning (FL) can train a shared model while protecting vehicle data privacy, which has significant advantages in improving driving safety and efficiency. However, there are still ...
GitHub

Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning

REC-R1 is a general framework that bridges generative large language models (LLMs) and recommendation systems via reinforcement learning. Check the paper here.