The Federated Learning (FL) machine learning paradigm addresses model bias through diverse data, while maintaining privacy and security for data owners.
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Articles récents
- Unlocking the Future of AI with Federated Learning
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Neural networks news
Intel NN News
- Unlocking the Future of AI with Federated Learning
OpenFL 1.6 Is Released and Federated Learning for Healthcare Is Showcasing Exciting Possibilities
- Intel Presents Novel AI Research at NeurIPS 2024
The Conference on Neural Information Processing Systems (NeurIPS 2024) will run from Tuesday, […]
- Building Trust in AI: An End-to-End Approach for the Machine Learning Model Lifecycle
At Intel Labs, we believe that responsible AI begins with ensuring the integrity and transparency […]
- Unlocking the Future of AI with Federated Learning
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