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04/29/2023
A preferential interpretation of MultiLayer Perceptrons in a conditional logic with typicality
In this paper we investigate the relationships between a multipreferenti...
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03/31/2023
Benchmarking FedAvg and FedCurv for Image Classification Tasks
Classic Machine Learning techniques require training on data available i...
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03/19/2023
Experimenting with Normalization Layers in Federated Learning on non-IID scenarios
Training Deep Learning (DL) models require large, high-quality datasets,...
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02/15/2023
Experimenting with Emerging ARM and RISC-V Systems for Decentralised Machine Learning
Decentralised Machine Learning (DML) enables collaborative machine learn...
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08/04/2022
Invariant Representations with Stochastically Quantized Neural Networks
Representation learning algorithms offer the opportunity to learn invari...
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02/07/2022
Fair Interpretable Representation Learning with Correction Vectors
Neural network architectures have been extensively employed in the fair ...
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06/29/2020