Federated Learning for Digital Healthcare Systems

<p>1. Digital Healthcare Systems in a Federated Learning Perspective<br>2. Architecture and design choices for federated learning in modern digital healthcare systems<br>3. Curation of Federated Patient Data: A Proposed Landscape for the Africa Health Data Space<br>4. Recent advances in federated learning for digital healthcare systems<br>5. Performance evaluation of federated learning algorithms using a breast cancer dataset<br>6. Taxonomy for federated learning applied to digital healthcare systems<br>7. Modeling an Internet of Health Things Using Federated Learning to Support Remote Therapies for Children with Psychomotor Deficit<br>8. Blockchain-Based Federated Learning in Internet of Health Things (IoHT)<br>9. Integration of Federated Learning Paradigms into Electronic Health Record Systems<br>10. Technical considerations of federated learning in digital healthcare systems<br>11. Federated Learning Challenges and Risks in Modern Digital Healthcare Systems<br>12. Case studies and recommendations for designing federated learning models for digital healthcare systems<br>13. Government and economic regulations on federated learning in emerging digital healthcare systems<br>14. Legal implications of federated learning in emerging digital healthcare systems<br>15. Secure Federated Learning in the Internet of Health Things (IoHT) for Improved Patient Privacy and Data Security</p>