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Communication overhead is one of the major performance bottlenecks in large-scale distributed computing systems, in particular for machine learning applications.
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2017
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M. Kiamari, C. Wang, and A. S. Avestimehr, “On heterogeneous coded distributed computing,” IEEE GLOBECOM , Dec. 2017
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2018
Closest in time.
2018
Closest in time.
K. Lee, M. Lam, R. Pedarsani, D. Papailiopoulos, and K. Ramchandran, “Speeding up distributed machine learning using codes,” IEEE Trans. Inf. Theory , vol. 64, no. 3, pp. 1514–1529, 2018
2018
Closest in time.