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An Overview of Data-Importance Aware Radio Resource Management for Edge
  Machine Learning

An Overview of Data-Importance Aware Radio Resource Management for Edge Machine Learning

10 November 2019
Dingzhu Wen
Xiaoyang Li
Qunsong Zeng
Jinke Ren
Kaibin Huang
ArXivPDFHTML

Papers citing "An Overview of Data-Importance Aware Radio Resource Management for Edge Machine Learning"

4 / 4 papers shown
Title
Collaborative Edge AI Inference over Cloud-RAN
Collaborative Edge AI Inference over Cloud-RAN
Pengfei Zhang
Dingzhu Wen
Guangxu Zhu
Qimei Chen
Kaifeng Han
Yuanming Shi
63
5
0
09 Apr 2024
Uplink Scheduling in Federated Learning: an Importance-Aware Approach
  via Graph Representation Learning
Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning
Marco Skocaj
Pedro Enrique Iturria-Rivera
Roberto Verdone
Melike Erol-Kantarci
40
1
0
27 Jan 2023
Deep Learning and Traffic Classification: Lessons learned from a
  commercial-grade dataset with hundreds of encrypted and zero-day applications
Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications
Lixuan Yang
A. Finamore
Feng Jun
Dario Rossi
22
46
0
07 Apr 2021
Task-oriented Communication Design in Cyber-Physical Systems: A Survey
  on Theory and Applications
Task-oriented Communication Design in Cyber-Physical Systems: A Survey on Theory and Applications
Arsham Mostaani
T. Vu
Shree Krishna Sharma
Van-Dinh Nguyen
Qi Liao
Symeon Chatzinotas
27
16
0
14 Feb 2021
1