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janalsncm • last Monday at 11:40 PM • 1 reply • view on HN

Knowing nothing about this, I wonder if it could be useful in situations where we can’t reliably sync with all the workers. Something like folding@home, where all the workers are just shaking weights and if one of them finds a winner it uploads to the central server?


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vatsachak • yesterday at 12:08 AM

No real advantage over Neural Nets here; backprop matmuls can be calculated layer by layer so you can chunk backprop across different machines. The real advantage comes from energy savings, you require no global co-ordination

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