Author

Gianluca Mittone

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#artificial intelligence Open access Sep 2026

Accelerating Sharded Data Parallelism at Scale with Federated Learning

The symbiotic scaling of artificial intelligence models and high-performance computing systems continually creates algorithmic challenges in their convergence. Foundation models (FMs) are a crucial example, requiring months-long training on thousands of cutting-edge GPUs. Sharded data parallelism (DP) is the dominant s...

Gianluca Mittone, Marco Aldinucci · European Conference on Paral... · 0 citations

#artificial intelligence Sep 2026

Efficiently Distributed Federated Learning

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 resea...

Gianluca Mittone, Robert Birke, Marco Aldinucci · Euro-Par Workshops · 1 citation