Edge AI: A vision for distributed, edge-native artificial intelligence in future 6G networks
L. Lovén, T. Leppänen, E. Peltonen, J. Partala. The 1st 6G Wireless Summit 2019
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Edge computing, a key part of the upcoming 5G mobile networks and future 6G technologies, promises to distribute cloud applications while providing more bandwidth and reducing latencies [1]. The promises are delivered by moving application-specific computations between the cloud, the data producing devices, and the network infrastructure compo- nents at the edges of wireless and fixed networks. In stark contrast, current artificial intelligence (AI) and in particular machine learning (ML) methods assume computations are conducted in a homogeneous cloud with ample computa- tional and data storage resources available. Currently, AI’s cloud-centric architectural model requires transmitting data from the end-user devices to the cloud, consuming significant data transmission resources and introducing latencies.