Katherine Henderson provides an update on the implementation of the initiatives in Hockey Canada’s Action Plan.

As a privacy-preserving distributed learning paradigm, federated learning (FL) enables multiple client devices to train a shared model without uploading their local data. To further enhance the ...

Federated Learning (FL) is a distributed learning framework that creates a global model by periodically exchanging model parameters through a central server, without directly sharing local data. We ...