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Large-scale distributed computing systems face two major bottlenecks that limit their scalability: straggler delay caused by the variability of computation times at different worker nodes and communication bottlenecks caused by shuffling data across many nodes in the network.
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A. Reisizadeh, S. Prakash, R. Pedarsani, and S. Avestimehr, “Coded computation over heterogeneous clusters,” in Information Theory (ISIT), 2017 IEEE International Symposium on
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“Federated learning: Collaborative machine learning without centralized training data.” https://research.googleblog.com/2017/04/federated-learning-collaborative.html
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