Decentralized Federated Learning of Probabilistic Generative Classifiers

Aritz Pérez, Carlos Echegoyen, Guzmán Santafé

Federated learning is a paradigm of increasing relevance in real world applications, aimed at building a global model across a network of heterogeneous users without requiring the…