A blockchain-infused framework for secure federated learning
Abstract Federated learning (FL) provides an effective framework for distributed data analysis with the model trained on raw data on local devices. While sharing aggregated data or gradient with the server, preserving data privacy is an important requirement in many applications such as healthcare,...
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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Springer
2026-05-01
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| Серія: | Discover Computing |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1007/s10791-026-10139-4 |
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