Barry Smyth

Coevolutionary Recommendation Model

2018

Collaborative filtering (CF) is a common recommendation approach that relies on user-item ratings. However, the natural sparsity of user-item rating data can be problematic in many domains and settings, limiting the ability to generate accurate …

FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems

2020

Federated learning (FL) is quickly becoming the de facto standard for the distributed training of deep recommendation models, using on-device user data and reducing server costs. In a typical FL process, a central server tasks …