## 7 Concluding Remarks and Future Work
This work was supported by the Gachon University research fund under Grant GCU-202304050001. Not applicable. Data Availability StatementData are contained within this article. The authors declare no conflicts of interest. * [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Coded computing for federated learning at the edge. _arXiv_**2020**, arXiv:2007.03273. * [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON] SVFL: Efficient secure aggregation and verification for cross-silo federated learning. _IEEE Trans. Mob. Comput._**2022**, _23_, 850-864. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] TrustFed: A framework for fair and trustworthy cross-device federated learning in IIoT. _IEEE Trans. Ind. Inform._**2021**, _17_, 8485-8494. [CrossRef]
* [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON]; [PERSON] Asynchronous federated learning on heterogeneous devices: A survey. _Comput. Sci. Rev._**2023**, _50_, 100595. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON] FedSCR: Structure-based communication reduction for federated learning. _IEEE Trans. Parallel Distrib. Syst._**2020**, _32_, 1565-1577. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] SAM: An Efficient Approach With Selective Aggregation of Models in Federated Learning. _IEEE Internet Things J._ 2024, _in press._ [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON] A comprehensive survey of privacy-preserving federated learning: A taxonomy, review, and future directions. _ACM Comput. Surv. (CSUR)_**2021**, _54_, 1-36. [CrossRef]
* [PERSON] and [PERSON] (2023) [PERSON]; [PERSON] A comprehensive review on federated learning based models for healthcare applications. _Artif. Intell. Med._**2023**, _146_, 102691. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON] Introduction: COVID-19 and the Law in Africa. _J. Afric. Law_**2021**, _65_, 173-180. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] A novel decentralized federated learning approach to train on globally distributed, poor quality, and protected private medical data. _Sci. Rep._**2022**, _12_, 8888. [CrossRef]
* [PERSON] et al. (2022) [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; et al. Applying the FAIR principles to data in a hospital: Challenges and opportunities in a pandemic. _J. Biomed. Semant._**2022**, _13_, 12. [CrossRef] [PubMed]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Federated Learning for Smart Healthcare: A Survey. _ACM Comput. Surv. (CSUR)_**2022**, _55_, 1-37. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] FedDPGAN: Federated differentially private generative adversarial networks framework for the detection of COVID-19 pneumonia. _Inf. Syst. Front._**2021**, _23_, 1403-1415. [CrossRef] [PubMed]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON] Preserving user privacy for machine learning: Local differential privacy or federated machine learning? _IEEE Intell. Syst._**2020**, _35_, 5-14. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Blockchain-enabled federated learning data protection aggregation scheme with differential privacy and homomorphic encryption in IIoT. _IEEE Trans. Ind. Inform._**2021**, _18_, 4049-4058. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON] Secure and Privacy-Preserving Decentralized Federated Learning for Personalized Recommendations in Consumer Electronics using Blockchain and Homomorphic Encryption. _IEEE Trans. Consum. Electron._**2020**, _70_, 2546-2556. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Homomorphic encryption-based privacy-preserving federated learning in iot-enabled healthcare system. _IEEE Trans. Netw. Sci.