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Yuanming Shi

Mobile Edge Artificial Intelligence

Opportunities and Challenges

Ebook (EPUB Format)

Mobile Edge Artificial Intelligence: Opportunities and Challenges presents recent advances in wireless technologies and nonconvex optimization techniques for designing efficient edge AI systems. The book includes comprehensive coverage on modeling, algorithm design and theoretical analysis. Through typical examples, the powerfulness of this set of systems and algorithms is demonstrated, along with their abilities to make low-latency, reliable and private intelligent decisions at network edge. With the availability of massive datasets, high performance computing platforms, sophisticated algorithms and software toolkits, AI has achieved remarka… Mehr

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Produktdetails


Weitere Autoren: Yang, Kai / Yang, Zhanpeng / Zhou, Yong
  • ISBN: 978-0-12-823835-6
  • EAN: 9780128238356
  • Produktnummer: 37181049
  • Verlag: Elsevier Science & Techn.
  • Sprache: Englisch
  • Erscheinungsjahr: 2021
  • Seitenangabe: 206 S.
  • Plattform: EPUB
  • Masse: 6'262 KB

Über den Autor


Dr. Yuanming Shi received the B.S. degree in electronic engineering from Tsinghua University, Beijing, China, in 2011. He received the Ph.D. degree in electronic and computer engineering from The Hong Kong University of Science and Technology (HKUST), in 2015. Since September 2015, he has been with the School of Information Science and Technology in ShanghaiTech University, where he is currently a tenured Associate Professor. He visited University of California, Berkeley, CA, USA, from October 2016 to February 2017. Dr. Shi is a recipient of the 2016 IEEE Marconi Prize Paper Award in Wireless Communications, and the 2016 Young Author Best Paper Award by the IEEE Signal Processing Society. He is an editor of IEEE Transactions on Wireless Communications. His research areas include optimization, statistics, machine learning, signal processing, and their applications to 6G, IoT, AI and FinTech. In particular, at IEEE Global Communications Conference 2019, Dr. Shi gave a 3-hours tutorial titled Mobile Edge Artificial Intelligence: Opportunities and Challenges¿.

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