Search Results for author: Stefano Samele

Found 3 papers, 0 papers with code

POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique

no code implementations6 Oct 2022 Andrea Falanti, Eugenio Lomurno, Stefano Samele, Danilo Ardagna, Matteo Matteucci

With its sequential model-based optimization strategy, Progressive Neural Architecture Search (PNAS) represents a possible step forward to face this resources issue.

Neural Architecture Search

SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning

no code implementations24 Sep 2021 Eugenio Lomurno, Alberto Archetti, Lorenzo Cazzella, Stefano Samele, Leonardo Di Perna, Matteo Matteucci

In this context, federated learning is one of the most influential frameworks for privacy-preserving distributed machine learning, achieving astounding results in many natural language processing and computer vision tasks.

BIG-bench Machine Learning Fairness +2

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