Decentralised Learning with Random Features and Distributed Gradient\n Descent

We investigate the generalisation performance of Distributed Gradient Descent\nwith Implicit Regularisation and Random Features in the homogenous setting\nwhere a network of agents are given data sampled independently from the same\nunknown distribution. Along with reducing the memory footprint, Ran... View More