195 citations · 458 across the 33 of their papers we have counts for
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cs.IR2022
Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders
Qi Le, Enmao Diao, Xinran Wang +3
Recommender Systems (RSs) have become increasingly important in many application domains, such as digital marketing. Conventional RSs often need to collect users' data, centralize…
cs.IR2021★ 1 cited
Decentralized Multi-Target Cross-Domain Recommendation for Multi-Organization Collaborations
Enmao Diao, Vahid Tarokh, Jie Ding
Recommender Systems (RSs) are operated locally by different organizations in many realistic scenarios. If various organizations can fully share their data and perform computation i…