Analog-digital Scheduling for Federated Learning: A Communication-Efficient Approach
Over-the-air (OTA) computation has recently emerged as a communication-efficient Federated Learning (FL) paradigm to train machine learning models over wireless networks. However, its performance is limited by the device with the worst SNR, resulting in fast yet noisy updates. On the other hand, all...
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Published in | 2023 57th Asilomar Conference on Signals, Systems, and Computers pp. 53 - 58 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
29.10.2023
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Subjects | |
Online Access | Get full text |
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