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cs.LG2026
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…
cs.LG2026
The Gaussian-Head OFL Family: One-Shot Federated Learning from Client Global Statistics
Fabio Turazza, Marco Picone, Marco Mamei
Classical Federated Learning relies on a multi-round iterative process of model exchange and aggregation between server and clients, with high communication costs and privacy risks…