Data Pipeline Challenges of Privacy-Preserving Federated Learning
Introduction In this post, we talk with Dr. Xiaowei Huang and Dr. Yi Dong (University of Liverpool) and Sikha Pentyala (University of Washington Tacoma), who were winners in the UK-US PETs Prize Challenges. We discuss real-world data pipeline challenges associated with privacy-preserving federated learning (PPFL) and explore upcoming solutions. Unlike traditional centralized or federated learning, PPFL solutions prevent the organization training the model from looking at the training data. This means it’s impossible for that organization to assess…
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