20 citations · 22 across the 3 of their papers we have counts for
3 papers
cs.RO2025★ 1 cited
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★ 1 cited
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…
cs.LG2023★ 20 cited
Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning
Joohyung Lee, Mohamed Seif, Jungchan Cho +1
Split Federated Learning (SFL) has recently emerged as a promising distributed learning technology, leveraging the strengths of both federated and split learning. It emphasizes the…