Efficient Unbiased Training of Large-scale Distributed WGAN
This project considers a multi-GPU settings where multiple processors/workers/clients have access to local stochastic dual vectors. This setting includes a broad range of important problems from distributed convex minimization to min-max and games. Using quantized generalized extra-gradient (Q-GenX) the given monotone variational inequality problem (WGAN) can be solved.
Mar 1, 2023
