Can Differential Privacy and Federated Learning Protect Your Privacy? This Paper Uncovers a Major Security Flaw in Machine Learning Systems

Federated learning has attracted increasing interest from the research community in the past few years due to its capacity to provide privacy-preserving methods for building machine learning and deep learning models. Sophisticated Artificial Intelligence (AI) solutions have been made possible by utilizing the vast amounts of data currently available in the information technology field in […]

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