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[ subject:"Edge computing." ]
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Mobile edge artificial intelligence ...
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Shi, Yuanming.
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Mobile edge artificial intelligence = opportunities and challenges /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Mobile edge artificial intelligence/ Yuanming Shi, Kai Yang, Zhanpeng Yang, Yong Zhou.
其他題名:
opportunities and challenges /
作者:
Shi, Yuanming.
其他作者:
Yang, Kai.
出版者:
London, United Kingdom ;Academic Press, an imprint of Elsevier, : 2022.,
面頁冊數:
1 online resource.
內容註:
I. Introduction and Overview 1. Primer on Artificial Intelligence 2. Overview of Edge AI Systems II. Edge Inference 3. Model Compression for On-Device Inference 4. Wireless MapReduce for Device Distributed Inference 5. Wireless Cooperative Transmission for Edge Inference III. Edge Training 6. Over-the-Air Computation for Federated Learning 7. Blind Over-the-Air Computation for Federated Learning 8. Reconfigurable Intelligent Surface Aided Federated Learning System IV. Future Directions 9. Communication-Efficient Algorithms for Edge AI 10. Future Research Directions.
標題:
Mobile computing. -
電子資源:
https://www.sciencedirect.com/science/book/9780128238172
ISBN:
9780128238356 (electronic bk.)
Mobile edge artificial intelligence = opportunities and challenges /
Shi, Yuanming.
Mobile edge artificial intelligence
opportunities and challenges /[electronic resource] :Yuanming Shi, Kai Yang, Zhanpeng Yang, Yong Zhou. - London, United Kingdom ;Academic Press, an imprint of Elsevier,2022. - 1 online resource.
I. Introduction and Overview 1. Primer on Artificial Intelligence 2. Overview of Edge AI Systems II. Edge Inference 3. Model Compression for On-Device Inference 4. Wireless MapReduce for Device Distributed Inference 5. Wireless Cooperative Transmission for Edge Inference III. Edge Training 6. Over-the-Air Computation for Federated Learning 7. Blind Over-the-Air Computation for Federated Learning 8. Reconfigurable Intelligent Surface Aided Federated Learning System IV. Future Directions 9. Communication-Efficient Algorithms for Edge AI 10. Future Research Directions.
ISBN: 9780128238356 (electronic bk.)
Nat. Bib. No.: GBC1J6018bnbSubjects--Topical Terms:
576294
Mobile computing.
Index Terms--Genre/Form:
542853
Electronic books.
LC Class. No.: QA76.59 / .S55 2021
Dewey Class. No.: 004.167
Mobile edge artificial intelligence = opportunities and challenges /
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I. Introduction and Overview 1. Primer on Artificial Intelligence 2. Overview of Edge AI Systems II. Edge Inference 3. Model Compression for On-Device Inference 4. Wireless MapReduce for Device Distributed Inference 5. Wireless Cooperative Transmission for Edge Inference III. Edge Training 6. Over-the-Air Computation for Federated Learning 7. Blind Over-the-Air Computation for Federated Learning 8. Reconfigurable Intelligent Surface Aided Federated Learning System IV. Future Directions 9. Communication-Efficient Algorithms for Edge AI 10. Future Research Directions.
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https://www.sciencedirect.com/science/book/9780128238172
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