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\u003cp\u003e\u003ci\u003eMobile Edge Artificial Intelligence: Opportunities and Challenges\u003c/i\u003e 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. \u003c/p\u003e \u003cp\u003eAs 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.\u003c/p\u003e\u003cul\u003e \u003cli\u003ePresents advanced key enabling techniques, including model compression, wireless MapReduce and wireless cooperative transmission\u003c/li\u003e \u003cli\u003eProvides advanced 6G wireless techniques, including over-the-air computation and reconfigurable intelligent surface\u003c/li\u003e \u003cli\u003eIncludes principles for designing communication-efficient edge inference systems, communication-efficient training systems, and communication-efficient optimization algorithms for edge machine learning\u003c/li\u003e\u003c/ul\u003e |
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