A Survey on Decentralized Federated Learning

no code implementations • 8 Aug 2023 • Edoardo Gabrielli, Giovanni Pica, Gabriele Tolomei

In contrast to standard ML, where data must be collected at the exact location where training is performed, FL takes advantage of the computational capabilities of millions of edge devices to collaboratively train a shared, global model without disclosing their local private data.

Federated Learning Privacy Preserving