Abstract | ||
---|---|---|
Autonomous adaption in IOT system has unique requirements for implementing the induced learning and control tasks, atypical for a classic ML setting. Data access, model updates, and decision making process often cannot be implemented within a single(powerful) computing device. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/ITA.2018.8503136 | 2018 Information Theory and Applications Workshop (ITA) |
Keywords | Field | DocType |
IOT system,induced learning,control tasks,data access,model updates,decision making process,Edge-assisted On-sensor Information Selection,bandwidth-constrained system,autonomous adaption,ML setting | Mathematical optimization,Computer science,Internet of Things,Bandwidth (signal processing),Computer engineering,Data access,Decision-making | Conference |
ISBN | Citations | PageRank |
978-1-7281-1995-3 | 0 | 0.34 |
References | Authors | |
0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Igor Burago | 1 | 3 | 1.39 |
Marco Levorato | 2 | 464 | 49.51 |