With the rapid growth in mobile computing, massive amounts of data and computing resources are now located at edge. To this end, Federated learning (FL) is becoming a widely adopted distributed machine (ML) paradigm, which aims to harness expanding skewed locally order develop rich informative models. In centralized FL, collection devices collaboratively solve ML task under coordination central...

The study of optimal properties centralized dynamic-time-division-duplex (D-TDD) employed at a wireless network consisting multiple nodes is highly challenging and partially understood problem in the literature. In this paper, we develop an D-TDD scheme for comprised K full-duplex impaired by self-interference additive white Gaussian noise. As special case, also propose when part or all are hal...