Listar por tema "Training process"
Mostrando ítems 1-3 de 3
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IPLS: A Framework for Decentralized Federated Learning
(2021)The proliferation of resourceful mobile devices that store rich, multidimensional and privacy-sensitive user data motivate federated learning, a paradigm that enables mobile devices to produce a machine-learning model ... -
Is Systematic Data Sharding able to Stabilize Asynchronous Parameter Server Training?
(2021)Over the last years, deep learning has gained an increase in popularity in various domains introducing complex models to handle the data explosion. However, while such model architectures can support the enormous amount ... -
A Lipschitz - Shapley Explainable Defense Methodology Against Adversarial Attacks
(2021)Every learning algorithm, has a specific bias. This may be due to the choice of its hyperparameters, to the characteristics of its classification methodology, or even to the representation approach of the considered ...