Home ›
Entities
› academia
› A Practical Implementation of Medical Privacy-Preserving Federated Learning Using Multi-Key Homomorphic Encryption and Flower Framework
A Practical Implementation of Medical Privacy-Preserving Federated Learning Using Multi-Key Homomorphic Encryption and Flower Framework
Research article (Cryptography, 2023) · cited 25× · AI/ML
A Practical Implementation of Medical Privacy-Preserving Federated Learning Using Multi-Key Homomorphic Encryption and Flower Framework
Summary
A Practical Implementation of Medical Privacy-Preserving Federated Learning Using Multi-Key Homomorphic Encryption and Flower Framework is a scholarly article[1].
Key Facts
A Practical Implementation of Medical Privacy-Preserving Federated Learning Using Multi-Key Homomorphic Encryption and Flower Framework's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A Practical Implementation of Medical Privacy-Preserving Federated Learning Using Multi-Key Homomorphic Encryption and Flower Framework. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-practical-implementation-of-medical-privacy-preserving-federated-learning-using-multi-key-homomorphic-encryption-and-f
MLA“A Practical Implementation of Medical Privacy-Preserving Federated Learning Using Multi-Key Homomorphic Encryption and Flower Framework.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-practical-implementation-of-medical-privacy-preserving-federated-learning-using-multi-key-homomorphic-encryption-and-f.
BibTeX@misc{4ortxyz_a-practical-implementation-of-medical-privacy-preserving-federated-learning-using-multi-key-homomorphic-encryption-and-f_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Practical Implementation of Medical Privacy-Preserving Federated Learning Using Multi-Key Homomorphic Encryption and Flower Framework}}, year = {2026}, url = {https://4ort.xyz/entity/a-practical-implementation-of-medical-privacy-preserving-federated-learning-using-multi-key-homomorphic-encryption-and-f}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Practical Implementation of Medical Privacy-Preserving Federated Learning Using Multi-Key Homomorphic Encryption and Flower Framework — https://4ort.xyz/entity/a-practical-implementation-of-medical-privacy-preserving-federated-learning-using-multi-key-homomorphic-encryption-and-f (retrieved 2026-05-24)
