Manifold-Aware General Coded Computing for Straggler-Resilient Distributed Computing
Inspired by graph-based manifold learning, a manifold-aware encoding strategy for general coded computing (GCC) is proposed and experiments demonstrate that the proposed strategy consistently and significantly reduces the mean squared recovery error under straggling compared with standard GCC.