Meta Matrix Factorization for Federated Rating Predictions
Meta Matrix Factorization for Federated Rating Predictions
With distinct privacy protection advantages, federated recommendation is becoming increasingly feasible to store data locally in devices and federally train recommender models. However, previous work on federated recommender systems does not take full account of the limitations of storage, RAM, energy and communication bandwidth in the mobile environment. Their model …