Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework

ArXi:2406.00300v3 Announce Type: replace Coded computing has emerged as a promising framework for tackling significant challenges in large-scale distributed computing, including the presence of slow, faulty, or compromised servers. In this approach, each worker node processes a combination of the data, rather than the raw data itself. The final result then is decoded from the collective outputs of the worker nodes.