On Model Coding for Distributed Inference and Transmission in Mobile Edge Computing Systems

Consider a mobile edge computing system in which users wish to obtain the result of a linear inference operation on locally measured input data. Unlike the offloaded input data, the model weight matrix is distributed across the wireless Edge Nodes (ENs). ENs have non-deterministic computing times, a...

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Published in:	IEEE communications letters Vol. 23; no. 6; pp. 1065 - 1068
Main Authors:	Zhang, Jingjing, Simeone, Osvaldo
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.06.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Coding Computational modeling Computing/Communication Latency Data models Downlink Edge computing Encoding Europe Inference Information theory Mobile computing Stragglers Wireless communication
ISSN:	1089-7798, 1558-2558
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Abstract	Consider a mobile edge computing system in which users wish to obtain the result of a linear inference operation on locally measured input data. Unlike the offloaded input data, the model weight matrix is distributed across the wireless Edge Nodes (ENs). ENs have non-deterministic computing times, and they can transmit any shared computed output back to the users cooperatively. This letter investigates the potential advantages obtained by coding model information prior to ENs' storage. Through an information-theoretic analysis, it is concluded that, while generally limiting cooperation opportunities, coding is instrumental in reducing the overall computation-plus-communication latency.
AbstractList	Consider a mobile edge computing system in which users wish to obtain the result of a linear inference operation on locally measured input data. Unlike the offloaded input data, the model weight matrix is distributed across the wireless Edge Nodes (ENs). ENs have non-deterministic computing times, and they can transmit any shared computed output back to the users cooperatively. This letter investigates the potential advantages obtained by coding model information prior to ENs' storage. Through an information-theoretic analysis, it is concluded that, while generally limiting cooperation opportunities, coding is instrumental in reducing the overall computation-plus-communication latency.
Author	Zhang, Jingjing Simeone, Osvaldo
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SubjectTerms	Coding Computational modeling Computing/Communication Latency Data models Downlink Edge computing Encoding Europe Inference Information theory Mobile computing Stragglers Wireless communication
Title	On Model Coding for Distributed Inference and Transmission in Mobile Edge Computing Systems
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