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Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3110908
Abstract: The computing power of various Internet of Things (IoT) devices is quite different. To enable IoT devices with lower computing power to perform machine learning, all nodes can only train smaller models, which results in…
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Keywords:
model fusion;
heterogeneous model;
fusion federated;
federated learning ... See more keywords
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Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2020.3048652
Abstract: Understanding pedestrian behaviors is crucial for a safe navigation of self-driving vehicles. However, pedestrians exhibit a large variety in their motion behaviors that are affected by interaction with the environment and other users of the…
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Keywords:
model;
similarity based;
model fusion;
multi model ... See more keywords
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Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3176475
Abstract: The data generated by modern industrial processes often exhibit high-dimensional, nonlinear, timing, and multiscale characteristics. Presently, most of the fault diagnosis methods based on deep learning only consider the part of the characteristics of industrial…
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Keywords:
model fusion;
diagnosis;
feature;
model ... See more keywords
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Published in 2022 at "Optics express"
DOI: 10.1364/oe.460951
Abstract: Reconfigurable optical add-and-drop multiplexer (ROADM) is a key element in optical networks. As several ROADMs are cascaded over long paths, the penalty induced by ROADM has become non-negligible due to the tight optical filtering. In…
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Keywords:
model fusion;
optical networks;
based model;
model ... See more keywords