SOURCE-LINKED INTELLIGENCE

Efficiently Distributed Federated Learning

arXiv · Artificial Intelligence · article · Sep 17, 2026 · UTC

Federated Learning (FL) is experiencing a substantial research interest, with many frameworks being developed to allow practitioners to build federations easily and quickly. Most of these efforts do not consider two main aspects that are key to Machine Learning (ML) software: customizability and performance. This research addresses these issues by implementing an open-source FL framework named FastFederatedLearning (FFL). FFL is implemented in C/C++, focusing on code performance, and allows the user to specify any communication graph between clients and servers involved in the federation, ensu

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Evidence & attribution

arXiv · AI, language, vision and robotics · 2026-09-17T09:46:27.000Z
arXiv · Artificial Intelligence · 2026-09-17T09:46:27.000Z

First collected: 2026-09-19T20:26:32.566Z. This is not the publication date.