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cs.LG2025
Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation
Muhammad Irfan Khan, Esa Alhoniemi, Elina Kontio +2
Federated Learning (FL) is a distributed machine learning approach that safeguards privacy by creating an impartial global model while respecting the privacy of individual client d…
cs.LG2024
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation
Muhammad Irfan Khan, Elina Kontio, Suleiman A. Khan +1
Federated learning (FL) enables collaborative model training across decentralized datasets while preserving data privacy. However, optimally selecting participating collaborators i…
cs.LG2024
Recommender Engine Driven Client Selection in Federated Brain Tumor Segmentation
Muhammad Irfan Khan, Elina Kontio, Suleiman A. Khan +1
This study presents a robust and efficient client selection protocol designed to optimize the Federated Learning (FL) process for the Federated Tumor Segmentation Challenge (FeTS 2…