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cs.LG2022
The Cost of Training Machine Learning Models over Distributed Data Sources
Elia Guerra, Francesc Wilhelmi, Marco Miozzo +1
Federated learning is one of the most appealing alternatives to the standard centralized learning paradigm, allowing a heterogeneous set of devices to train a machine learning mode…
cs.CR2022★ 1 cited
On the Decentralization of Blockchain-enabled Asynchronous Federated Learning
Francesc Wilhelmi, Elia Guerra, Paolo Dini
Federated learning (FL), thanks in part to the emergence of the edge computing paradigm, is expected to enable true real-time applications in production environments. However, its…