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...
