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Author

Gianluca Mittone

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#artificial intelligence Open access Sep 2026

Accelerating Sharded Data Parallelism at Scale with Federated Learning

Inspired by the efficient communication principles of federated learning (FL), this work introduces two hybrid algorithms - FL+FSDP and FL+HSDP - interleaving sharded DP with FedAvg-style aggregations, demonstrating superior computational efficiency and improved model quality.

Gianluca Mittone, Marco Aldinucci · 0 citations
#artificial intelligence Open access Sep 2026

Efficiently Distributed Federated Learning

This research addresses two main aspects that are key to Machine Learning (ML) software: customizability and performance by implementing an open-source FL framework named FastFederatedLearning (FFL), implemented in C/C++, focusing on code performance.

Gianluca Mittone, Robert Birke, Marco Aldinucci · 1 citation

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