CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot Interaction
Human-robot interaction (HRI) is a rapidly growing field that encompasses social and
industrial applications. Machine learning plays a vital role in industrial HRI by enhancing the …
industrial applications. Machine learning plays a vital role in industrial HRI by enhancing the …
ReActHE: A homomorphic encryption friendly deep neural network for privacy-preserving biomedical prediction
C Song, X Shi - Smart Health, 2024 - Elsevier
The growing distribution of deep learning models to individuals' devices on sensitive
healthcare data introduces challenging privacy and security problems when computation is …
healthcare data introduces challenging privacy and security problems when computation is …
Federated Joint Learning of Robot Networks in Stroke Rehabilitation
Advanced by rich perception and precise execution, robots possess immense potential to
provide professional and customized rehabilitation exercises for patients with mobility …
provide professional and customized rehabilitation exercises for patients with mobility …
Embodied Visual Navigation for Grasping
X Wang, Y Ding, B Shao, F Meng, C Chen - Proceedings of the 2023 9th …, 2023 - dl.acm.org
This paper presents a novel approach to robotic grasping by integrating embodied visual
navigation with reinforcement learning. The primary objective is to determine the optimal …
navigation with reinforcement learning. The primary objective is to determine the optimal …