Privacy-Enhancing Technologies (PETs)
84 articles

Articles on the latest tools and methods designed to protect data while unlocking utility and enabling innovation.

Unlocking a Million Times More Data for AI Through Attribution-Based Control
The Bitter Lesson’s Bitter Lesson
Advancing Research on Sensitive Personal Health Data with Syft
Mobilizing Sensitive Consumer Data through Syft
OpenMined Featured in Landmark Ofcom Report on Researcher Access to Information
Federated Learning in Practice: Training a Diabetes Prediction Model Across Distributed Datasites – Part 3
Federated Learning in Practice: Training a Diabetes Prediction Model Across Distributed Datasites – Part 2
Federated Learning in Practice: Training a Diabetes Prediction Model Across Distributed Datasites
Announcing the #30DaysOfFLCode Challenge: Build, Share, and Learn Federated Learning
PETs Cost-Benefit Awareness Tool
Third-party evaluation to identify risks in LLMs’ training data
PySyft Cracks Top 10 List of Most Popular Open-Source AI Libraries in the UK

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