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Communication Optimization for Distributed Training: Architecture, Advances, and Opportunities
The past few years have witnessed the flourishing of large-scale deep neural network models with ever-growing parameter numbers.
Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA Storage
The Levenshtein distance is approximated by the squared Euclidean distance between the embedding vectors, which is fast calculated and clustering algorithm friendly.
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