Swarm mutual learning
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40747-024-01573-2.pdf
Reference34 articles.
1. Blanco-Justicia A, Domingo-Ferrer J, Martínez S et al (2021) Achieving security and privacy in federated learning systems: survey, research challenges and future directions. Eng Appl Artif Intell 106:104468. https://doi.org/10.1016/j.engappai.2021.104468
2. Warnat-Herresthal S, Schultze H, Shastry KL et al (2021) Swarm learning for decentralized and confidential clinical machine learning. Nature 594(7862):265–270. https://doi.org/10.1038/s41586-021-03583-3
3. Saldanha OL, Muti HS, Grabsch HI et al (2023) Direct prediction of genetic aberrations from pathology images in gastric cancer with swarm learning. Gastric Cancer 26(2):264–274. https://doi.org/10.1007/s10120-022-01347-0
4. Mothukuri V, Parizi RM, Pouriyeh S et al (2021) A survey on security and privacy of federated learning. Fut Gen Comput Syst 115:619–640. https://doi.org/10.1016/j.future.2020.10.007
5. Doan TVT, Messai ML, Gavin G et al (2023) A survey on implementations of homomorphic encryption schemes. J Supercomput 79(13):15098–15139. https://doi.org/10.1007/s11227-023-05233-z
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