FedFNN: Faster Training Convergence Through Update Predictions in Federated Recommender Systems

Francesco Fabbri, Xianghang Liu, Jack R. McKenzie +2

Federated Learning (FL) has emerged as a key approach for distributed machine learning, enhancing online personalization while ensuring user data privacy. Instead of sending privat…