Neuromorphic Wireless Device-Edge Co-Inference via the Directed Information Bottleneck

An important use case of next-generation wireless systems is device-edge co-inference, where a semantic task is partitioned between a device and an edge server. The device carries out data collection and partial processing of the data, while the remote server completes the given task based on inform...

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Veröffentlicht in:	2024 International Conference on Neuromorphic Systems (ICONS) S. 16 - 23
Hauptverfasser:	Ke, Yuzhen, Utkovski, Zoran, Heshmati, Mehdi, Simeone, Osvaldo, Dommel, Johannes, Stanczak, Slawomir
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 30.07.2024
Schlagworte:	Computer architecture Computers directed information bottleneck edge intelligence Hardware Neuromorphics Performance evaluation Robot sensing systems semantic communications Semantics Servers spiking neural networks Wireless communication Wireless sensor networks
Online-Zugang:	Volltext
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