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Caramel: Accelerating Decentralized Distributed Deep Learning with Computation Scheduling
The method of choice for parameter aggregation in Deep Neural Network (DNN) training, a network-intensive task, is shifting from the Parameter Server model to decentralized aggregation schemes (AllReduce) inspired by theoretical guarantees of better performance.
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