431 citations · 506 across the 3 of their papers we have counts for
3 papers
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…
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…
Fast Learning from Distributed Datasets without Entity Matching
Giorgio Patrini, Richard Nock, Stephen Hardy +1
Consider the following data fusion scenario: two datasets/peers contain the same real-world entities described using partially shared features, e.g. banking and insurance company r…