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FDNAS: Improving Data Privacy and Model Diversity in AutoML
To prevent the leakage of private information while enabling automated m...
11/06/2020 ∙ by Chunhui Zhang, et al. ∙
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Edge Learning with Unmanned Ground Vehicle: Joint Path, Energy and Sample Size Planning
Edge learning (EL), which uses edge computing as a platform to execute m...
09/07/2020 ∙ by Dan Liu, et al. ∙
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Towards Probabilistic Tensor Canonical Polyadic Decomposition 2.0: Automatic Tensor Rank Learning Using Generalized Hyperbolic Prior
Tensor rank learning for canonical polyadic decomposition (CPD) has long...
09/05/2020 ∙ by Lei Cheng, et al. ∙
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A Covariance-based User Activity Detection and Channel Estimation Approach with Novel Pilot Design
This paper studies the massive machine-type communications (mMTC) for th...
04/21/2020 ∙ by Lei Cheng, et al. ∙
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Massive MIMO Multicast Beamforming Via Accelerated Random Coordinate Descent
One key feature of massive multiple-input multiple-output systems is the...
02/07/2019 ∙ by Shuai Wang, et al. ∙
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Modeling the Biological Pathology Continuum with HSIC-regularized Wasserstein Auto-encoders
A crucial challenge in image-based modeling of biomedical data is to ide...
01/20/2019 ∙ by Denny Wu, et al. ∙
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