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cs.LG2023
MetisFL: An Embarrassingly Parallelized Controller for Scalable & Efficient Federated Learning Workflows
Dimitris Stripelis, Chrysovalantis Anastasiou, Patrick Toral +2
A Federated Learning (FL) system typically consists of two core processing entities: the federation controller and the learners. The controller is responsible for managing the exec…
cs.LG2023
Federated Learning over Harmonized Data Silos
Dimitris Stripelis, Jose Luis Ambite
Federated Learning is a distributed machine learning approach that enables geographically distributed data silos to collaboratively learn a joint machine learning model without sha…