Task-Oriented Data Compression for Multi-Agent Communications Over Bit-Budgeted Channels

Various applications for inter-machine communications are on the rise. Whether it is for autonomous driving vehicles or the internet of everything, machines are more connected than ever to improve their performance in fulfilling a given task. While in traditional communications the goal has often be...

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Veröffentlicht in:	IEEE open journal of the Communications Society Jg. 3; S. 1
Hauptverfasser:	Mostaani, Arsham, Vu, Thang X., Chatzinotas, Symeon, Ottersten, Bjorn
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Collaboration Communication channels communications for machine learning Communications systems Data compression data quantization machine learning for communications Multi-agent systems Multiagent systems Quantization (signal) semantic communications Semantics Task analysis Task-oriented communications semantic communications data quantization Task-oriented communications machine learning for communications communications for machine learning
ISSN:	2644-125X, 2644-125X
Online-Zugang:	Volltext
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