Fabio Turazza

11 papers B 1C 2Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Blockchain Federated Learning for Sustainable Retail: Reducing Waste through Collaborative Demand Forecasting.
CoRR
Fabio Turazza, Alessandro Neri, Marcello Pietri, Maria Angela Butturi, Marco Picone, Marco Mamei
2026 J jnl
Digital Twins & ZeroConf AI: Structuring Automated Intelligent Pipelines for Industrial Applications.
CoRR
Marco Picone, Fabio Turazza, Matteo Martinelli, Marco Mamei
2026 — conf
Digital Twins and Federated Learning in Industrial IoT: Worker-Centric Safety Perspectives.
CCNC
Marcello Pietri, Matteo Martinelli, Fabio Turazza, Giorgia Bertacchini, Marco Picone, Marco Mamei
2026 — conf
Dynamic Certification of Industrial Digital Twins via Blockchain for Trusted Lifecycle Management.
CCNC
Marcello Pietri, Matteo Martinelli, Fabio Turazza, Roberto Cavicchioli, Marco Picone, Marco Mamei
2026 J jnl
FedBGS: A Blockchain Approach to Segment Gossip Learning in Decentralized Systems.
CoRR
Fabio Turazza, Marcello Pietri, Marco Picone, Marco Mamei
2026 J jnl
Forecasting Energy Availability in Local Energy Communities via LSTM Federated Learning.
CoRR
Fabio Turazza, Marcello Pietri, Natalia Selini Hadjidimitriou, Marco Mamei
2026 J jnl
The Gaussian-Head OFL Family: One-Shot Federated Learning from Client Global Statistics.
CoRR
Fabio Turazza, Marco Picone, Marco Mamei
2025 C conf
Blockchain Federated Learning for Sustainable Retail: Reducing Waste through Collaborative Demand Forecasting.
ISCC
Fabio Turazza, Alessandro Neri, Marcello Pietri, Maria Angela Butturi, Marco Picone, Marco Mamei
2025 B conf
Digital Twins & ZeroConf AI: Structuring Automated Intelligent Pipelines for Industrial Applications.
SMC
Marco Picone, Fabio Turazza, Matteo Martinelli, Marco Mamei
2025 J jnl
Empowering Local Energy Communities with Blockchain-Based Federated Forecasting and Zero-Knowledge Proof Verification.
SN Comput. Sci.
Fabio Turazza, Marcello Pietri, Natalia Selini Hadjidimitriou, Marco Picone, Paolo Burgio, Marco Mamei
2024 C conf
Forecasting Energy Availability in Local Energy Communities via LSTM Federated Learning.
MEDES
Fabio Turazza, Marcello Pietri, Natalia Selini Hadjidimitriou, Marco Mamei