Distributed Inference for Spatial Extremes Modeling in High Dimensions
Sign Up to like & getrecommendations! Published in 2022 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2023.2186886
Abstract: Extreme environmental events frequently exhibit spatial and temporal dependence. These data are often modeled using max stable processes (MSPs). MSPs are computationally prohibitive to fit for as few as a dozen observations, with supposed computationally-efficient… read more here.
Keywords: spatial extremes; distributed inference; extremes modeling; inference spatial ... See more keywords
Communication-Oriented Model Fine-Tuning for Packet-Loss Resilient Distributed Inference Under Highly Lossy IoT Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3149336
Abstract: The distributed inference (DI) framework has gained traction as a technique for real-time applications empowered by cutting-edge deep machine learning (ML) on resource-constrained Internet of things (IoT) devices. In DI, computational tasks are offloaded from… read more here.
Keywords: distributed inference; lossy iot; communication; iot networks ... See more keywords