TY  - BOOK
AU  - Shi,Yuanming
AU  - Yang,Kai
AU  - Yang,Zhanpeng
AU  - Zhou,Yong
TI  - Mobile Edge Artificial Intelligence: Opportunities And Challenges 
SN  - 9780128238172
AV  - QA76.59 .S54 2022
U1  - 006.3 SHI 23
PY  - 2022///]
CY  - London, United Kingdom, San Diego, CA
PB  - Academic Press, an imprint of Elsevier
KW  - Mobile computing
KW  - Artificial intelligence
KW  - Edge computing
KW  - Informatique mobile
KW  - Intelligence artificielle
KW  - artificial intelligence
KW  - aat
KW  - fast
N1  - It include index pages; Includes bibliographical references and index
N2  - 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 remarkable success in many application domains. As such, intelligent wireless networks will be designed to leverage advanced wireless communications and mobile computing technologies to support AI-enabled applications at various edge mobile devices with limited communication, computation, hardware and energy resources.--
ER  -