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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

1 June 2022
Wei Xu
Zhaohui Yang
Derrick Wing Kwan Ng
Marco Levorato
Yonina C. Eldar
Mérouane Debbah
ArXivPDFHTML

Papers citing "Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing"

48 / 48 papers shown
Title
Byzantine-Resilient Over-the-Air Federated Learning under Zero-Trust Architecture
Byzantine-Resilient Over-the-Air Federated Learning under Zero-Trust Architecture
Jiacheng Yao
Wei Shi
Wei-ping Xu
Zhaohui Yang
A. L. Swindlehurst
Dusit Niyato
32
0
0
24 Mar 2025
Large AI Model for Delay-Doppler Domain Channel Prediction in 6G OTFS-Based Vehicular Networks
Large AI Model for Delay-Doppler Domain Channel Prediction in 6G OTFS-Based Vehicular Networks
Jianzhe Xue
Dongcheng Yuan
Zhanxi Ma
Tiankai Jiang
Yu Sun
Haibo Zhou
Xuemin Shen
60
0
0
03 Mar 2025
Provable Performance Bounds for Digital Twin-driven Deep Reinforcement Learning in Wireless Networks: A Novel Digital-Twin Bisimulation Metric
Provable Performance Bounds for Digital Twin-driven Deep Reinforcement Learning in Wireless Networks: A Novel Digital-Twin Bisimulation Metric
Zhenyu Tao
Wei Xu
Xiaohu You
OffRL
59
0
0
25 Feb 2025
A Comprehensive Survey on Joint Resource Allocation Strategies in
  Federated Edge Learning
A Comprehensive Survey on Joint Resource Allocation Strategies in Federated Edge Learning
Jingbo Zhang
Qiong Wu
Pingyi Fan
Q. Fan
FedML
26
0
0
10 Oct 2024
Parallel Digital Twin-driven Deep Reinforcement Learning for User
  Association and Load Balancing in Dynamic Wireless Networks
Parallel Digital Twin-driven Deep Reinforcement Learning for User Association and Load Balancing in Dynamic Wireless Networks
Zhenyu Tao
Wei Xu
Xiaohu You
24
1
0
10 Oct 2024
An overview of domain-specific foundation model: key technologies,
  applications and challenges
An overview of domain-specific foundation model: key technologies, applications and challenges
Haolong Chen
Hanzhi Chen
Zijian Zhao
Kaifeng Han
Guangxu Zhu
Yichen Zhao
Ying Du
Wei Xu
Qingjiang Shi
ALM
VLM
61
4
0
06 Sep 2024
Semantic Meta-Split Learning: A TinyML Scheme for Few-Shot Wireless
  Image Classification
Semantic Meta-Split Learning: A TinyML Scheme for Few-Shot Wireless Image Classification
Eslam Eldeeb
M. Shehab
Hirley Alves
Mohamed-Slim Alouini
21
0
0
03 Sep 2024
Sparsity-Preserving Encodings for Straggler-Optimal Distributed Matrix
  Computations at the Edge
Sparsity-Preserving Encodings for Straggler-Optimal Distributed Matrix Computations at the Edge
A. Das
Aditya Ramamoorthy
David J. Love
Christopher G. Brinton
20
0
0
09 Aug 2024
Map2Traj: Street Map Piloted Zero-shot Trajectory Generation with
  Diffusion Model
Map2Traj: Street Map Piloted Zero-shot Trajectory Generation with Diffusion Model
Zhenyu Tao
Wei Xu
Xiaohu You
18
0
0
29 Jul 2024
Optimal Gait Design for a Soft Quadruped Robot via Multi-fidelity
  Bayesian Optimization
Optimal Gait Design for a Soft Quadruped Robot via Multi-fidelity Bayesian Optimization
Kaige Tan
Xuezhi Niu
Qinglei Ji
Lei Feng
Martin Törngren
30
1
0
11 Jun 2024
Learning Wireless Data Knowledge Graph for Green Intelligent
  Communications: Methodology and Experiments
Learning Wireless Data Knowledge Graph for Green Intelligent Communications: Methodology and Experiments
Yongming Huang
Xiaohu You
Hang Zhan
Shiwen He
Ningning Fu
Wei Xu
25
2
0
16 Apr 2024
Blockchain-based Pseudonym Management for Vehicle Twin Migrations in
  Vehicular Edge Metaverse
Blockchain-based Pseudonym Management for Vehicle Twin Migrations in Vehicular Edge Metaverse
Jiawen Kang
Xiaofeng Luo
Jiangtian Nie
Tianhao Wu
Haibo Zhou
Yonghua Wang
Dusit Niyato
Shiwen Mao
Shengli Xie
19
12
0
22 Mar 2024
Adaptive Split Learning over Energy-Constrained Wireless Edge Networks
Adaptive Split Learning over Energy-Constrained Wireless Edge Networks
Zuguang Li
Wen Wu
Shaohua Wu
Wei Wang
18
1
0
08 Mar 2024
Digital versus Analog Transmissions for Federated Learning over Wireless
  Networks
Digital versus Analog Transmissions for Federated Learning over Wireless Networks
Jiacheng Yao
Weihong Xu
Zhaohui Yang
Xiaohu You
M. Bennis
H. Vincent Poor
11
2
0
15 Feb 2024
Leveraging Digital Cousins for Ensemble Q-Learning in Large-Scale
  Wireless Networks
Leveraging Digital Cousins for Ensemble Q-Learning in Large-Scale Wireless Networks
Talha Bozkus
Urbashi Mitra
10
4
0
12 Feb 2024
Secure Deep Reinforcement Learning for Dynamic Resource Allocation in
  Wireless MEC Networks
Secure Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless MEC Networks
Xin Hao
Phee Lep Yeoh
Changyang She
B. Vucetic
Yonghui Li
8
4
0
13 Dec 2023
Generative AI for Physical Layer Communications: A Survey
Generative AI for Physical Layer Communications: A Survey
Nguyen Van Huynh
Jiacheng Wang
Hongyang Du
D. Hoang
Dusit Niyato
Diep N. Nguyen
Dong In Kim
K. B. Letaief
AI4CE
14
30
0
09 Dec 2023
Task-Oriented Edge Networks: Decentralized Learning Over Wireless
  Fronthaul
Task-Oriented Edge Networks: Decentralized Learning Over Wireless Fronthaul
Hoon Lee
Seung-Wook Kim
22
4
0
03 Dec 2023
Green Edge AI: A Contemporary Survey
Green Edge AI: A Contemporary Survey
Yuyi Mao
X. Yu
Kaibin Huang
Ying-Jun Angela Zhang
Jun Zhang
26
16
0
01 Dec 2023
Wireless Network Digital Twin for 6G: Generative AI as A Key Enabler
Wireless Network Digital Twin for 6G: Generative AI as A Key Enabler
Zhenyu Tao
Weihong Xu
Yongming Huang
Xiaoyun Wang
Xiaohu You
AI4CE
16
31
0
29 Nov 2023
A Joint Gradient and Loss Based Clustered Federated Learning Design
A Joint Gradient and Loss Based Clustered Federated Learning Design
Licheng Lin
Mingzhe Chen
Zhaohui Yang
Yusen Wu
Yuchen Liu
FedML
18
0
0
22 Nov 2023
Digital Twin-Based User-Centric Edge Continual Learning in Integrated
  Sensing and Communication
Digital Twin-Based User-Centric Edge Continual Learning in Integrated Sensing and Communication
Shisheng Hu
Jie Gao
Xinyu Huang
Mushu Li
Kaige Qu
Conghao Zhou
Xuemin Shen
Shen
20
5
0
20 Nov 2023
Over-the-Air Federated Learning and Optimization
Over-the-Air Federated Learning and Optimization
Jingyang Zhu
Yuanming Shi
Yong Zhou
Chunxiao Jiang
Wei-Neng Chen
Khaled B. Letaief
FedML
16
10
0
16 Oct 2023
Digital Twin Assisted Deep Reinforcement Learning for Online Admission
  Control in Sliced Network
Digital Twin Assisted Deep Reinforcement Learning for Online Admission Control in Sliced Network
Zhenyu Tao
Weihong Xu
Xiaohu You
OffRL
17
1
0
07 Oct 2023
Enabling Resource-efficient AIoT System with Cross-level Optimization: A
  survey
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey
Sicong Liu
Bin Guo
Cheng Fang
Ziqi Wang
Shiyan Luo
Zimu Zhou
Zhiwen Yu
AI4CE
10
22
0
27 Sep 2023
Joint Communication and Computation Framework for Goal-Oriented Semantic
  Communication with Distortion Rate Resilience
Joint Communication and Computation Framework for Goal-Oriented Semantic Communication with Distortion Rate Resilience
Minh-Duong Nguyen
Q. Do
Zhaohui Yang
Viet Quoc Pham
W. Hwang
11
1
0
26 Sep 2023
Semantic Information Extraction for Text Data with Probability Graph
Semantic Information Extraction for Text Data with Probability Graph
Zhouxiang Zhao
Zhaohui Yang
Ye Hu
Licheng Lin
Zhaoyang Zhang
11
16
0
16 Sep 2023
Towards Ubiquitous Semantic Metaverse: Challenges, Approaches, and
  Opportunities
Towards Ubiquitous Semantic Metaverse: Challenges, Approaches, and Opportunities
Kai Li
Billy Pik Lik Lau
Xinnan Yuan
W. Ni
Mohsen Guizani
Chau Yuen
16
46
0
13 Jul 2023
Reasoning over the Air: A Reasoning-based Implicit Semantic-Aware
  Communication Framework
Reasoning over the Air: A Reasoning-based Implicit Semantic-Aware Communication Framework
Yong Xiao
Yiwei Liao
Yingyu Li
Guangming Shi
H. Vincent Poor
Walid Saad
Merouane Debbah
M. Bennis
23
12
0
20 Jun 2023
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey
  of Vulnerabilities, Datasets, and Defenses
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses
M. Ferrag
Othmane Friha
B. Kantarci
Norbert Tihanyi
Lucas C. Cordeiro
Merouane Debbah
Djallel Hamouda
Muna Al-Hawawreh
K. Choo
17
42
0
17 Jun 2023
Integrated Sensing, Computation, and Communication for UAV-assisted
  Federated Edge Learning
Integrated Sensing, Computation, and Communication for UAV-assisted Federated Edge Learning
Yao Tang
Guangxu Zhu
Wei Xu
M. H. Cheung
T. Lok
Shuguang Cui
14
7
0
05 Jun 2023
Goal-Oriented Communications in Federated Learning via Feedback on
  Risk-Averse Participation
Goal-Oriented Communications in Federated Learning via Feedback on Risk-Averse Participation
Shashi Raj Pandey
Van-Phuc Bui
P. Popovski
FedML
11
4
0
19 May 2023
Self-information Domain-based Neural CSI Compression with Feature
  Coupling
Self-information Domain-based Neural CSI Compression with Feature Coupling
Ziqing Yin
Renjie Xie
Wei Xu
Zhaohui Yang
Xiaohu You
16
2
0
30 Apr 2023
Task-Oriented Communications for NextG: End-to-End Deep Learning and AI
  Security Aspects
Task-Oriented Communications for NextG: End-to-End Deep Learning and AI Security Aspects
Y. Sagduyu
S. Ulukus
Aylin Yener
AAML
13
25
0
19 Dec 2022
Explainable AI over the Internet of Things (IoT): Overview,
  State-of-the-Art and Future Directions
Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions
Senthil Kumar Jagatheesaperumal
Viet Quoc Pham
Rukhsana Ruby
Zhaohui Yang
Chunmei Xu
Zhaoyang Zhang
16
50
0
02 Nov 2022
Cooperative Resource Management in Quantum Key Distribution (QKD)
  Networks for Semantic Communication
Cooperative Resource Management in Quantum Key Distribution (QKD) Networks for Semantic Communication
R. Kaewpuang
Minrui Xu
Wei Yang Bryan Lim
Dusit Niyato
Han Yu
Jiawen Kang
X. Shen
13
9
0
24 Sep 2022
Adaptive Resource Allocation in Quantum Key Distribution (QKD) for
  Federated Learning
Adaptive Resource Allocation in Quantum Key Distribution (QKD) for Federated Learning
R. Kaewpuang
Minrui Xu
Dusit Niyato
Han Yu
Zehui Xiong
X. Shen
13
11
0
24 Aug 2022
Disentangled Representation Learning for RF Fingerprint Extraction under
  Unknown Channel Statistics
Disentangled Representation Learning for RF Fingerprint Extraction under Unknown Channel Statistics
Renjie Xie
Wei Xu
Jiabao Yu
A. Hu
Derrick Wing Kwan Ng
A. L. Swindlehurst
14
18
0
04 Aug 2022
Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on
  Asynchronous Federated and Deep Reinforcement Learning
Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning
Qiong Wu
Yu Zhao
Q. Fan
Pingyi Fan
Jiangzhou Wang
Cui Zhang
16
120
0
02 Aug 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
Efficient Wireless Federated Learning with Partial Model Aggregation
Efficient Wireless Federated Learning with Partial Model Aggregation
Zhixiong Chen
Wenqiang Yi
A. Nallanathan
Geoffrey Ye Li
26
10
0
20 Apr 2022
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
Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid
  Beamforming Design
Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Design
Chongwen Huang
Zhaohui Yang
G. C. Alexandropoulos
Kai Xiong
Li Wei
Chau Yuen
Zhaoyang Zhang
Merouane Debbah
15
324
0
22 Jan 2021
FedAR: Activity and Resource-Aware Federated Learning Model for
  Distributed Mobile Robots
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots
Ahmed Imteaj
M. Amini
73
51
0
11 Jan 2021
Wireless Image Retrieval at the Edge
Wireless Image Retrieval at the Edge
Mikolaj Jankowski
Deniz Gunduz
K. Mikolajczyk
65
201
0
21 Jul 2020
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO
  Detection
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection
Nir Shlezinger
Rong Fu
Yonina C. Eldar
24
102
0
08 Feb 2020
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
136
1,663
0
14 Apr 2018
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,724
0
26 Sep 2016
1