Search Results for author: Walter Riviera

Found 2 papers, 1 papers with code

Model-Agnostic Federated Learning

1 code implementation8 Mar 2023 Gianluca Mittone, Walter Riviera, Iacopo Colonnelli, Robert Birke, Marco Aldinucci

MAFL marries a model-agnostic FL algorithm, AdaBoost. F, with an open industry-grade FL framework: Intel OpenFL.

Federated Learning

Deploying AI Frameworks on Secure HPC Systems with Containers

no code implementations24 May 2019 David Brayford, Sofia Vallecorsa, Atanas Atanasov, Fabio Baruffa, Walter Riviera

The increasing interest in the usage of Artificial Intelligence techniques (AI) from the research community and industry to tackle "real world" problems, requires High Performance Computing (HPC) resources to efficiently compute and scale complex algorithms across thousands of nodes.

Distributed Computing

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