Federated Learning with Swift: An Extension of Flower and Performance Evaluation
Federated learning (FL) enables the optimization of machine learning models on distributed clients without sharing local data. The integration of FL into a mobile environment is becoming more feasible due to increasing on-device processing capabilities. However, there is limited open-source support...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-12-01
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| Series: | SoftwareX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711023002297 |