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(The)learning edge
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1.
- RRAM-CMOS Integrated Hardware for Efficient Learning and Inference At the Edge
- Li, Haitong, ProQuest Dissertations & Theses Stanford Universit, [2022]
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- Learning Along the Edge of Deep Neural Networks
- Kabkab, Maya, University of Maryland, College Park ProQuest Diss, [2018]
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- Real-Time Cost-Aware Machine Learning at the Edge
- Goldstein, Orpaz, ProQuest Dissertations & Theses University of Cali, [2021]
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4.
- The Marginal Edge of Learning Progressions and Modeling: Investigating Diagnostic Inferences from Learning Progressions Assessment
- Kizil, Ruhan Circi, University of Colorado at Boulder, [2015]
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5.
- Service Abstractions for Scalable Deep Learning Inference at the Edge
- Guo, Peizhen, ProQuest Dissertations & Theses Yale University, [2021]
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6.
- Designing From End-to-End and Learning Control Policies on the Edge With Data-Driven Optimization: Applications to Adaptive Plasma Medicine
- Chan, Kimberly J, University of California, Berkeley ProQuest Disser, [2024]
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7.
- Investigating the Potential of Federated Learning in Edge Computing : Experimental Analysis and Insights
- Pham Khanh Quan, 충북대학교, [2023]
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8.
- Learning-Based Techniques for Energy-Efficient and Secure Computation on the Edge
- Guo, Jia, ProQuest Dissertations & Theses University of Cali, [2019]
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