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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE open journal of the Communications Society Ročník 3; s. 1
Hlavní autori:	Mostaani, Arsham, Vu, Thang X., Chatzinotas, Symeon, Ottersten, Bjorn
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!