431 citations · 501 across the 2 of their papers we have counts for
2 papers
cs.DB2018★ 70 cited
Entity Resolution and Federated Learning get a Federated Resolution
Richard Nock, Stephen Hardy, Wilko Henecka +4
Consider two data providers, each maintaining records of different feature sets about common entities. They aim to learn a linear model over the whole set of features. This problem…
cs.LG2017★ 431 cited
Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption
Stephen Hardy, Wilko Henecka, Hamish Ivey-Law +4
Consider two data providers, each maintaining private records of different feature sets about common entities. They aim to learn a linear model jointly in a federated setting, name…