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Codes are widely used in many engineering applications to offer some form of reliability and fault tolerance. The high-level idea of coding is to exploit resource redundancy to deliver higher robustness against system noise. In distributed systems, there are several types of "noise" that can affect ML algorithms: straggler nodes, system failures, communication bottlenecks, etc. Moreover, redundancy is abundant: a plethora of nodes, a lot of spare storage, etc. However, there has been littledoi:10.1109/isit.2016.7541478 dblp:conf/isit/LeeLPPR16 fatcat:zrzj7v7dxrh5novlu2qsh4gj2m