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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Bibliographic Details
Published in2023 57th Asilomar Conference on Signals, Systems, and Computers pp. 53 - 58
Main Authors Ul Abrar, Muhammad Faraz, Michelusi, Nicolo
Format Conference Proceeding
LanguageEnglish
Published IEEE 29.10.2023
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