2 citations · 2 across the 8 of their papers we have counts for
4 papers · 1 filter
Semantic Communication and Control Co-Design for Multi-Objective Distinct Dynamics
Abanoub M. Girgis, Hyowoon Seo, Mehdi Bennis
This letter introduces a machine-learning approach to learning the semantic dynamics of correlated systems with different control rules and dynamics. By leveraging the Koopman oper…
Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix
Seungeun Oh, Sihun Baek, Jihong Park +5
In computer vision, the vision transformer (ViT) has increasingly superseded the convolutional neural network (CNN) for improved accuracy and robustness. However, ViT's large model…
Maze Discovery using Multiple Robots via Federated Learning
Kalpana Ranasinghe, H. P. Madushanka, Rafaela Scaciota +2
This work presents a use case of federated learning (FL) applied to discovering a maze with LiDAR sensors-equipped robots. Goal here is to train classification models to accurately…
Real-Time Remote Control via VR over Limited Wireless Connectivity
H. P. Madushanka, Rafaela Scaciota, Sumudu Samarakoon +1
This work introduces a solution to enhance human-robot interaction over limited wireless connectivity. The goal is toenable remote control of a robot through a virtual reality (VR)…