Search Results for author: Chrysovalantis Anastasiou

Found 2 papers, 0 papers with code

MetisFL: An Embarrassingly Parallelized Controller for Scalable & Efficient Federated Learning Workflows

no code implementations1 Nov 2023 Dimitris Stripelis, Chrysovalantis Anastasiou, Patrick Toral, Armaghan Asghar, Jose Luis Ambite

The controller is responsible for managing the execution of FL workflows across learners and the learners for training and evaluating federated models over their private datasets.

Federated Learning Scheduling

Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption

no code implementations7 Aug 2021 Dimitris Stripelis, Hamza Saleem, Tanmay Ghai, Nikhil Dhinagar, Umang Gupta, Chrysovalantis Anastasiou, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, Jose Luis Ambite

Federated learning (FL) enables distributed computation of machine learning models over various disparate, remote data sources, without requiring to transfer any individual data to a centralized location.

Benchmarking Federated Learning

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