On Analog Gradient Descent Learning over Multiple Access Fading Channels

20 Aug 2019Tomer SeryKobi Cohen

We consider a distributed learning problem over multiple access channel (MAC) using a large wireless network. The computation is made by the network edge and is based on received data from a large number of distributed nodes which transmit over a noisy fading MAC... (read more)

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