Our team focused on developing an effective distributed machine learning training infrastructure on an arbitrary number of general-purpose computers. After running the server script, any number of workers can be instantiated and will communicate with the server script on a local network.
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Network Windows desktops and Raspberry Pi’s to implement the Downpour SGD distributed training algorithm.
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