6 citations · 6 across the 1 of their papers we have counts for
3 papers
cs.LG2025
PLayer-FL: A Principled Approach to Personalized Layer-wise Cross-Silo Federated Learning
Ahmed Elhussein, Florent Pollet, Gamze Gürsoy
Federated learning (FL) with non-IID data often degrades client performance below local training baselines. Partial FL addresses this by federating only early layers that learn tra…
cs.LG2024
A Universal Metric of Dataset Similarity for Cross-silo Federated Learning
Ahmed Elhussein, Gamze Gursoy
Federated Learning is increasingly used in domains such as healthcare to facilitate collaborative model training without data-sharing. However, datasets located in different sites…
cs.LG2023★ 6 cited
Privacy-preserving patient clustering for personalized federated learning
Ahmed Elhussein, Gamze Gursoy
Federated Learning (FL) is a machine learning framework that enables multiple organizations to train a model without sharing their data with a central server. However, it experienc…