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Marco Esposito

2 papers indexed

crossrefSensors2026-05-07

Surface Electromyography for Parkinson’s Disease Monitoring: A Review of Machine and Deep Learning Techniques

Sara Bruschi, Marco Esposito, Sara Raggiunto, Luisiana Sabbatini, Alberto Belli, Michele Paniccia, et al.

Parkinson’s disease (PD) is a neurodegenerative disorder affecting millions worldwide, characterized by motor symptoms such as tremor, rigidity, and bradykinesia that significantly impair daily life. The current diagnosis and monitoring rely primarily on clinical observations and…

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semantic_scholarProceedings on Privacy Enhancing Technologies

SoK: Verifiable Integrity Claims for Privacy-Preserving Federated Learning

Andrea Rizzini, Marco Esposito, Tommaso Gagliardoni, F. Bruschi

TL;DR: This SoK model federated learning as an append-only transcript of submissions, admissions, aggregation, and finalization events, and formalize verifiability as a collection of integrity claims issued by clients and the aggregator, and checked by different verifier classes.

Federated Learning (FL) is an advancement in Machine Learning motivated by the need to preserve the privacy of the data used to train models. While it effectively addresses this issue, the multi-participant paradigm on which it is based introduces several challenges. Among these…

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