A privacy-enhanced framework for collaborative Big Data analysis in healthcare using adaptive federated learning aggregation
Abstract The exponential growth of Big Data in healthcare, particularly in AI-driven medical diagnostics, has raised critical concerns about data privacy in medical image classification. With over 30% of healthcare organizations worldwide experiencing data breaches in the past year, the demand for s...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-05-01
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| Series: | Journal of Big Data |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40537-025-01169-8 |
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