Abstract: Edge computing has recently emerged as a promising paradigm to boost the performance of distributed learning by leveraging the distributed resources at edge nodes. Architecturally, the ...

Abstract: Driven by the explosive escalation of machine learning applications, considerable efforts have been devoted to distributed edge learning. To alleviate the so-called straggling issue, coded ...