Communication Trade-offs in Federated Learning of Spiking Neural Networks

no code implementations • 27 Feb 2023 • Soumi Chaki, David Weinberg, Ayca Özcelikkale

We investigate federated learning for training multiple SNNs at clients when two mechanisms reduce the uplink communication cost: i) random masking of the model updates sent from the clients to the server; and ii) client dropouts where some clients do not send their updates to the server.

Federated Learning