1 citations · 1 across the 2 of their papers we have counts for
4 papers
Reinforcement Learning-Based Laser Cutting Machine Parameter Optimization
Khanh Quan Pham, Majid Kundroo, Geunwoo Ban +2
Achieving high accuracy in laser-based cutting of optical films requires careful tuning of parameters such as focal length and laser power beam, adjusted according to the specific…
FedTVD: Balancing Data Quality and Quantity for Robust Federated Learning
Radwan Selo, Majid Kundroo, Taehong Kim
Federated Learning (FL) enables collaborative model training across distributed client devices while preserving data privacy. However, FL faces significant challenges due to data h…
FedVAR: Prototype-Aligned Federated Framework for Video Anomaly Recognition
Ghani Haider, Majid Kundroo, Boyun Eom +3
In the era of Industrial Internet of Things (IIoT) and Cyber-Physical Systems (CPS), Federated Learning (FL) offers a promising decentralized intelligence paradigm for Video Anomal…
Disentangled Multi-Context Meta-Learning: Unlocking robust and Generalized Task Learning
Seonsoo Kim, Jun-Gill Kang, Taehong Kim +1
In meta-learning and its downstream tasks, many methods rely on implicit adaptation to task variations, where multiple factors are mixed together in a single entangled representati…