Residual-INR: Communication Efficient on-Device Learning Using Implicit Neural Representation

Edge computing is a distributed computing paradigm that collects and processes data at or near the source of data generation. The on-device learning at edge relies on device-to-device wireless communication to facilitate real-time data sharing and collaborative decision-making among multiple devices...

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Vydané v:	Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design s. 1 - 9
Hlavní autori:	Chen, Hanqiu, Yao, Xuebin, Subedi, Pradeep, Hao, Cong
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	ACM 27.10.2024
Predmet:	Data transfer Edge computing Efficient Communication Fog Computing Image coding Image edge detection Implicit Neural Representation(INR) On-device Learning Pipelines Training Transform coding Video compression Videos Wireless communication
ISSN:	1558-2434
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