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2010.00176
Cited By
Towards Self-learning Edge Intelligence in 6G
1 October 2020
Yong Xiao
Guangming Shi
Yingyu Li
Walid Saad
H. Vincent Poor
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Papers citing
"Towards Self-learning Edge Intelligence in 6G"
19 / 19 papers shown
Title
Joint Source-Channel Coding: Fundamentals and Recent Progress in Practical Designs
Deniz Gündüz
Michèle A. Wigger
Tze-Yang Tung
Ping Zhang
Yong Xiao
34
13
0
26 Sep 2024
Pragmatic Goal-Oriented Communications under Semantic-Effectiveness Channel Errors
Tomás Hüttebräucker
Mohamed Sana
Emilio Calvanese Strinati
19
3
0
19 Jan 2024
Towards Net-Zero Carbon Emissions in Network AI for 6G and Beyond
Peng-Zhen Zhang
Yong Xiao
Yingyu Li
Xiaohu Ge
Guangming Shi
Yang Yang
27
9
0
18 Sep 2023
Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-supervised Learning Approach
Yong Xiao
Rong Xia
Yingyu Li
Guangming Shi
Diep N. Nguyen
D. Hoang
Dusit Niyato
Marwan Krunz
21
12
0
01 Feb 2023
Time-sensitive Learning for Heterogeneous Federated Edge Intelligence
Yong Xiao
Xiaohan Zhang
Guangming Shi
Marwan Krunz
Diep N. Nguyen
D. Hoang
21
15
0
26 Jan 2023
A Survey on Privacy of Personal and Non-Personal Data in B5G/6G Networks
Chamara Sandeepa
Bartlomiej Siniarski
N. Kourtellis
Shen Wang
Madhusanka Liyanage
28
5
0
14 Dec 2022
A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks
Murat Kuzlu
Ferhat Ozgur Catak
S. Sarp
U. Cali
O. Gueler
16
8
0
25 Oct 2022
Deep Edge Intelligence: Architecture, Key Features, Enabling Technologies and Challenges
Prabath Abeysekara
Haipeng Dong
•. A. K. Qin
14
0
0
24 Oct 2022
Over-the-Air Split Machine Learning in Wireless MIMO Networks
YuZhi Yang
Zhaoyang Zhang
Yuqing Tian
Zhaohui Yang
Chongwen Huang
C. Zhong
Kai‐Kit Wong
13
23
0
07 Oct 2022
Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration
Henna Kokkonen
Lauri Lovén
Naser Hossein Motlagh
Abhishek Kumar
Juha Partala
...
M. Bennis
Sasu Tarkoma
Schahram Dustdar
Susanna Pirttikangas
J. Riekki
19
26
0
03 May 2022
Enabling All In-Edge Deep Learning: A Literature Review
Praveen Joshi
Mohammed Hasanuzzaman
Chandra Thapa
Haithem Afli
T. Scully
21
22
0
07 Apr 2022
Synergy between 6G and AI: Open Future Horizons and Impending Security Risks
E. Yaacoub
32
1
0
20 Mar 2022
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence
Pengjin Wei
Kun Guo
Ye Li
Jue Wang
W. Feng
Shi Jin
Ning Ge
Ying-Chang Liang
21
45
0
27 Jan 2022
Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges
Shen Wang
M. Qureshi
Luis Miralles-Pechuán
Thien Huynh-The
Thippa Reddy Gadekallu
Madhusanka Liyanage
11
22
0
09 Dec 2021
Semantic Communications With AI Tasks
Yang Yang
Caili Guo
Fangfang Liu
Chuanhong Liu
Lunan Sun
Qizheng Sun
Jiujiu Chen
34
36
0
29 Sep 2021
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach
Su Wang
Seyyedali Hosseinalipour
M. Gorlatova
Christopher G. Brinton
M. Chiang
30
36
0
29 Jun 2021
Security Concerns on Machine Learning Solutions for 6G Networks in mmWave Beam Prediction
Ferhat Ozgur Catak
Evren Çatak
Murat Kuzlu
Umit Cali
Devrim Unal
AAML
35
44
0
09 May 2021
Spatio-temporal Modeling for Large-scale Vehicular Networks Using Graph Convolutional Networks
Juntong Liu
Yong Xiao
Yingyu Li
Guangming Shi
Walid Saad
H. Vincent Poor
GNN
21
3
0
13 Mar 2021
Network Support for High-performance Distributed Machine Learning
F. Malandrino
C. Chiasserini
Nuria Molner
Antonio de la Oliva
42
10
0
05 Feb 2021
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