ERI: Back Propagation-Free Machine Learning for Split Neural Networks in Distributed Edge Systems
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This NSF ERI project aims to make collaborative machine learning more practical for real-world edge systems where data are distributed across devices, and networks often differ in speed, reliability, and computing capability. Today, many distributed learning methods require each device to train a full neural network or to exchange large amount of…
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