Federated learning with hyper-parameter optimization
Federated Learning is a new approach for distributed training of a deep learning model on data scattered across a large number of clients while ensuring data privacy. However, this approach faces certain limitations, including a longer convergence time compared to typical deep learning models. Exist...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-10-01
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Series: | Journal of King Saud University: Computer and Information Sciences |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S131915782300294X |