Federated learning: a comprehensive review of recent advances and applications
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17737-0.pdf
Reference51 articles.
1. Abdulrahman S, Tout H, Ould-Slimane H, Mourad A, Talhi C, Guizani M (2021) A survey on federated learning: the journey from centralized to distributed on-site learning and beyond. IEEE Internet Things J 8(7):5476–5497
2. Ahmed L, Ahmad K, Said N, Qolomany B, Qadir J, Al-Fuqaha A (2020) Active learning based federated learning for waste and natural disaster image classification. IEEE Access 8:208518–208531
3. Aledhari M, Razzak R, Parizi RM, Saeed F (2020) Federated learning: a survey on enabling technologies, protocols, and applications. IEEE Access 8:140699–140725
4. Cao M, Zhang L, Cao B (2021) Toward on-device federated learning: a direct acyclic graph-based blockchain approach. IEEE Trans Neural Netw Learning Syst. https://doi.org/10.1109/TNNLS.2021.3105810
5. Chandiramani K, Garg D, Maheswari N (2019) Performance analysis of distributed and federated learning models on private data. Procedia Comput Sci 165:349–355
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