Security and privacy in federated learning: A survey

• 主要な著者: Dasaradharami Reddy Kandati (著者), S Anusha (著者)
• フォーマット: 図書
• 出版事項: Trends in Computer Science and Information Technology - Peertechz Publications, 2023-08-16.
• 主題: Literature Review
• オンライン･アクセス: Connect to this object online.

<p>Federated Learning (FL) allows multiple nodes without actually sharing data with other confidential nodes to retrain a common model. This is particularly relevant in healthcare applications, where data such as medical records are private and confidential. Although federated learning avoids...