The system partitions data, parameters, or computation and exchanges gradients or activations between workers. Correctness requires consistent updates, while performance depends on overlapping communication with useful computation.
Distributed training coordinates model optimization across multiple processors or machines.
The system partitions data, parameters, or computation and exchanges gradients or activations between workers. Correctness requires consistent updates, while performance depends on overlapping communication with useful computation.