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Communication-Efficient Distributed Training via Ring-Based Coded Approximate All-Reduce
Ring All-Reduce is widely used within large-scale distributed training for exact computation of the aggregate gradient. For a system with $N$ workers, its normalized per-worker communication is $2(N-1)/N$. In this work we present a communication-efficient Ring All-Reduce (CERAR) protocol for ``appro
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