Dynamic neuromorphic architecture selection scheme for intelligent Internet of Things services

Author:

Park Kicheol1,Kim Bongjae2ORCID

Affiliation:

1. Human IT Convergence Research Center Korea Electronics Technology Institute Seongnam Republic of Korea

2. Department of Computer Engineering Chungbuk National University Cheongju Republic of Korea

Funder

Chungbuk National University

Institute for Information and Communications Technology Promotion

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference22 articles.

1. Personalized federated learning for intelligent IoT applications: a cloud‐edge based framework;Wu Q;IEEE Open J Comput Soc,2020

2. A Vision of IoT: Applications, Challenges, and Opportunities With China Perspective

3. MayaS ReynosoR TorresC Arias‐EstradaM. Compact spiking neural network implementation in FPGA;2000:270‐276.

4. GianC AlessandroC LucaDN MarcoR MarioS GianlucaS. Spiking neural networks based on LIF with latency: simulation and synchronization effects;2013:1838‐1842.

5. EsserSK AppuswamyR MerollaP ArthurJV ModhaDS. Backpropagation for energy‐efficient neuromorphic computing;2015:1117‐1125.

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