… of analog over-the-air GD. We also present the convergence rate of analog over-the-air GD
… In Section IV, we analyze the generalization error of the analog over-the-air GD algorithm. …

… To commence with, as an epitome among the diverse ML techniques, deep learning (DL) …
In summary, the channel interference in analog over-the-air computations could also bring …

… In this work, we study the overall effects of the interference in analog over-the-air … Poor,
“Revisiting analog over-the-air machine learning: The blessing and curse of interference,” IEEE J. …

… without removing channel fading and electromagnetic interference. Second, an analytical …
HV Poor, ”Revisiting analog over-the-air machine learning: the blessing and curse of inter…

… over-the-air, which is therefore referred to as over-the-air computation (AirComp). Analog …
For constraint C2, due to its interferencefree characteristic, full power transmission is …

… to cope with this issue is by integrating analog over-the-air (A-OTA) … a wide range of new
studies in OTA machine learning. … , “Edge intelligence over the air: Two faces of interference in …

… over-the-air, which is therefore referred to as over-the-air … collaboratively train a shared
machine learning model via local … it more vulnerable to interference and even the malicious …

… perfect superposition of the analog waveforms coming from … also result in inter-symbol
interference in the existing prototype … Machine learning at the wireless edge: distributed stochastic …

… Transmission Scheme: We propose a scalable clustered overthe-air aggregation for the …
Poor, "Revisiting analog over-the-air machine learning: The blessing and curse of interference," …

… paradigm that employs analog over-the-air computation to … random channel fading and
interference into the aggregated … enjoying the benefits of analog over-the-air computations. In the …