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Task-Oriented Communication for Multi-Device Cooperative Edge Inference

Task-Oriented Communication for Multi-Device Cooperative Edge Inference

1 September 2021
Jiawei Shao
Yuyi Mao
Jun Zhang
ArXivPDFHTML

Papers citing "Task-Oriented Communication for Multi-Device Cooperative Edge Inference"

11 / 11 papers shown
Title
Over-the-Air Multi-Sensor Inference with Neural Networks Using Memristor-Based Analog Computing
Over-the-Air Multi-Sensor Inference with Neural Networks Using Memristor-Based Analog Computing
Busra Tegin
Muhammad Atif Ali
T. Duman
53
0
0
20 Jan 2025
VideoQA-SC: Adaptive Semantic Communication for Video Question Answering
VideoQA-SC: Adaptive Semantic Communication for Video Question Answering
Jiangyuan Guo
Wei-Neng Chen
Yuxuan Sun
Jia-lin Xu
Bo Ai
39
4
0
17 May 2024
Efficient Multiuser AI Downloading via Reusable Knowledge Broadcasting
Efficient Multiuser AI Downloading via Reusable Knowledge Broadcasting
Hai Wu
Qunsong Zeng
Kaibin Huang
19
7
0
28 Jul 2023
Enabling AI Quality Control via Feature Hierarchical Edge Inference
Enabling AI Quality Control via Feature Hierarchical Edge Inference
Jinhyuk Choi
Seongun Kim
Seung-Woo Ko
6
0
0
15 Nov 2022
Edge Learning for B5G Networks with Distributed Signal Processing:
  Semantic Communication, Edge Computing, and Wireless Sensing
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing
Wei Xu
Zhaohui Yang
Derrick Wing Kwan Ng
Marco Levorato
Yonina C. Eldar
Mérouane Debbah
16
395
0
01 Jun 2022
Semantic Information Recovery in Wireless Networks
Semantic Information Recovery in Wireless Networks
Edgar Beck
C. Bockelmann
Armin Dekorsy
16
22
0
28 Apr 2022
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and
  Applications
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
Khaled B. Letaief
Yuanming Shi
Jianmin Lu
Jianhua Lu
20
414
0
24 Nov 2021
On In-network learning. A Comparative Study with Federated and Split
  Learning
On In-network learning. A Comparative Study with Federated and Split Learning
Matei Moldoveanu
A. Zaidi
FedML
9
6
0
30 Apr 2021
Learning to Cascade: Confidence Calibration for Improving the Accuracy
  and Computational Cost of Cascade Inference Systems
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems
Shohei Enomoto
Takeharu Eda
UQCV
29
16
0
15 Apr 2021
Learning Task-Oriented Communication for Edge Inference: An Information
  Bottleneck Approach
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach
Jiawei Shao
Yuyi Mao
Jun Zhang
27
211
0
08 Feb 2021
Wireless Image Retrieval at the Edge
Wireless Image Retrieval at the Edge
Mikolaj Jankowski
Deniz Gunduz
K. Mikolajczyk
59
201
0
21 Jul 2020
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