3 citations · 4 across the 4 of their papers we have counts for
4 papers
Digital Twins & ZeroConf AI: Structuring Automated Intelligent Pipelines for Industrial Applications
Marco Picone, Fabio Turazza, Matteo Martinelli +1
The increasing complexity of Cyber-Physical Systems (CPS), particularly in the industrial domain, has amplified the challenges associated with the effective integration of Artifici…
Blockchain Federated Learning for Sustainable Retail: Reducing Waste through Collaborative Demand Forecasting
Fabio Turazza, Alessandro Neri, Marcello Pietri +3
Effective demand forecasting is crucial for reducing food waste. However, data privacy concerns often hinder collaboration among retailers, limiting the potential for improved pred…
FedBGS: A Blockchain Approach to Segment Gossip Learning in Decentralized Systems
Fabio Turazza, Marcello Pietri, Marco Picone +1
Privacy-Preserving Federated Learning (PPFL) is a Decentralized machine learning paradigm that enables multiple participants to collaboratively train a global model without sharing…
Forecasting Energy Availability in Local Energy Communities via LSTM Federated Learning
Fabio Turazza, Marcello Pietri, Natalia Selini Hadjidimitriou +1
Local Energy Communities are emerging as crucial players in the landscape of sustainable development. A significant challenge for these communities is achieving self-sufficiency th…