29 citations · 35 across the 4 of their papers we have counts for
5 papers
Learning Stability of Replay-Based Co-Optimization for Transmission Expansion under Strategic Bidding
Tomonari Kanazawa, Hikaru Hoshino, Eiko Furutani
This paper investigates the behavior of learning-based co-optimization for transmission expansion under strategic bidding in electricity markets. In this framework, transmission ca…
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…
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…
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…
A New Computationally Efficient Measure of Topological Redundancy of Biological and Social Networks
Reka Albert, Bhaskar DasGupta, Anthony Gitter +5
It is well-known that biological and social interaction networks have a varying degree of redundancy, though a consensus of the precise cause of this is so far lacking. In this pap…