Edge Learning with Timeliness Constraints: Challenges and Solutions
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Communications Magazine"
DOI: 10.1109/mcom.001.2000382
Abstract: Future machine learning (ML) powered applications, such as autonomous driving and augmented reality, involve training and inference tasks with timeliness requirements and are communication- and computation-intensive, which demands the edge learning framework. The real-time requirements… read more here.
Keywords: inference; timeliness constraints; edge learning; delay ... See more keywords