arXiv Machine Learning August 4, 2026 By Antonio Tarizzo, Mohammad Kazemi, Deniz G\"und\"uz

Learned Digital Over-the-Air Computing for Federated Edge Learning

Read the original on arXiv Machine Learning →

arXiv:2509. 16577v2 Announce Type: replace Abstract: Over-the-air (OTA) aggregation enables federated edge learning (FEEL) by exploiting the superposition property of the wireless channel to merge communication with computation, eliminating the need to schedule and decode devices individually.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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