ByzFL: Building Trustworthy AI Without Trusting Data Sources
2025-04-10
Current AI models rely on massive, centralized datasets, raising security and privacy concerns. Researchers at EPFL have developed ByzFL, a library using federated learning to train AI models across decentralized devices without centralizing data. ByzFL detects and mitigates malicious data, ensuring robustness and safety, particularly crucial for mission-critical applications like healthcare and transportation. It offers a novel solution for building trustworthy AI systems.
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