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Found 2 papers, 2 papers with code
Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications
Deploying federated learning (FL) in real-world scenarios, particularly in healthcare, poses challenges in communication and security.
Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications
The real-world implementation of federated learning is complex and requires research and development actions at the crossroad between different domains ranging from data science, to software programming, networking, and security.
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