2 papers
cs.RO2025
Communication-Efficient Module-Wise Federated Learning for Grasp Pose Detection in Cluttered Environments
Woonsang Kang, Joohyung Lee, Seungjun Kim +2
Grasp pose detection (GPD) is a fundamental capability for robotic autonomy, but its reliance on large, diverse datasets creates significant data privacy and centralization challen…
cs.GT2025
How Can Incentives and Cut Layer Selection Influence Data Contribution in Split Federated Learning?
Joohyung Lee, Jungchan Cho, Wonjun Lee +2
To alleviate the training burden in federated learning while enhancing convergence speed, Split Federated Learning (SFL) has emerged as a promising approach by combining the advant…