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@ICLR 2021
Workshop on Distributed and Private Machine Learning
We present Syft, a general-purpose framework that combines a core group of privacy-enhancing technologies that facilitate a universal set of structure...
@NeurIPS 2020
Workshop on Privacy Preserving Machine Learning
This paper presents a multi-language, cross-platform, open-source library for asymmetric private set intersection (PSI) and PSI-Cardinality. The proto...
@ICLR 2021
Workshop on Distributed and Private Machine Learning, ICLR 2021
We introduce PyVertical, a framework supporting vertical federated learning using split neural networks. The proposed framework allows a data scientis...
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