  Distributed computing platforms typically assume the availability of reliable
and dedicated connections among the processors. This work considers an
alternative scenario, relevant for wireless data centers and federated
learning, in which the distributed processors, operating on generally distinct
coded data, are connected via shared wireless channels accessed via full-duplex
transmission. The study accounts for both wireless and computing impairments,
including interference, imperfect Channel State Information, and straggling
processors, and it assumes a Map-Shuffle-Reduce coded computing paradigm. The
total latency of the system, obtained as the sum of computing and communication
delays, is studied for different shuffling strategies revealing the interplay
between distributed computing, coding, and cooperative or coordinated
transmission.
