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What are some distributed SGD implementations?
How about PyTorch's distributed SGD?
PyTorch's distributed SGD also splits the data and model across multiple machines, but it uses a different approach to share gradients. Each machine computes the gradients for its local data, and then a subset of machines exchange their gradients and weights with each other to compute an updated weight. This process is repeated until convergence.