83 citations · 105 across the 25 of their papers we have counts for
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cs.CR2020★ 1 cited
Differentially Private Secure Multi-Party Computation for Federated Learning in Financial Applications
David Byrd, Antigoni Polychroniadou
Federated Learning enables a population of clients, working with a trusted server, to collaboratively learn a shared machine learning model while keeping each client's data within…
cs.LG2020★ 1 cited
CryptoCredit: Securely Training Fair Models
Leo de Castro, Jiahao Chen, Antigoni Polychroniadou
When developing models for regulated decision making, sensitive features like age, race and gender cannot be used and must be obscured from model developers to prevent bias. Howeve…