A semi-synchronous federated learning framework with chaos-based encryption for enhanced security in medical image sharing

Research article (Results in Engineering, 2025) · cited 13× · AI/ML
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A semi-synchronous federated learning framework with chaos-based encryption for enhanced security in medical image sharing

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A semi-synchronous federated learning framework with chaos-based encryption for enhanced security in medical image sharing is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A semi-synchronous federated learning framework with chaos-based encryption for enhanced security in medical image sharing. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-semi-synchronous-federated-learning-framework-with-chaos-based-encryption-for-enhanced-security-in-medical-image-shari
MLA “A semi-synchronous federated learning framework with chaos-based encryption for enhanced security in medical image sharing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-semi-synchronous-federated-learning-framework-with-chaos-based-encryption-for-enhanced-security-in-medical-image-shari.
BibTeX @misc{4ortxyz_a-semi-synchronous-federated-learning-framework-with-chaos-based-encryption-for-enhanced-security-in-medical-image-shari_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A semi-synchronous federated learning framework with chaos-based encryption for enhanced security in medical image sharing}}, year = {2026}, url = {https://4ort.xyz/entity/a-semi-synchronous-federated-learning-framework-with-chaos-based-encryption-for-enhanced-security-in-medical-image-shari}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A semi-synchronous federated learning framework with chaos-based encryption for enhanced security in medical image sharing — https://4ort.xyz/entity/a-semi-synchronous-federated-learning-framework-with-chaos-based-encryption-for-enhanced-security-in-medical-image-shari (retrieved 2026-05-24)

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