most citedFedLBW: A Loss-Based Weighting Strategy for Federated Learning on Non-IID Data in Wireless Networks

2 citations · 3 across the 3 of their papers we have counts for

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cs.AI2026

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…

cs.AI2026★ 2 cited

FedLBW: A Loss-Based Weighting Strategy for Federated Learning on Non-IID Data in Wireless Networks

Majid Kundroo, Tinku Singh, Taehong Kim

Federated Learning (FL) enables collaborative machine learning (ML) across distributed clients while preserving privacy. However, efficient model convergence in FL remains challeng…