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Dual Attention-Based Federated Learning for Wireless Traffic Prediction

Dual Attention-Based Federated Learning for Wireless Traffic Prediction

11 October 2021
Chuanting Zhang
Shuping Dang
B. Shihada
Mohamed-Slim Alouini
ArXiv (abs)PDFHTML

Papers citing "Dual Attention-Based Federated Learning for Wireless Traffic Prediction"

16 / 16 papers shown
Title
Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning
Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning
Hui Ma
Kai Yang
Yang Jiao
OOD
199
1
0
25 May 2025
Securing Distributed Network Digital Twin Systems Against Model Poisoning Attacks
Securing Distributed Network Digital Twin Systems Against Model Poisoning Attacks
Zifan Zhang
Minghong Fang
Mingzhe Chen
Gaolei Li
Xi Lin
Yuchen Liu
AAML
118
3
0
02 Jul 2024
Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction
Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction
Zifan Zhang
Minghong Fang
Jiayuan Huang
Yuchen Liu
AAML
123
8
0
22 Apr 2024
Time Series Data Augmentation for Deep Learning: A Survey
Time Series Data Augmentation for Deep Learning: A Survey
Qingsong Wen
Liang Sun
Fan Yang
Xiaomin Song
Jing Gao
Xue Wang
Huan Xu
AI4TS
99
645
0
27 Feb 2020
Advances and Open Problems in Federated Learning
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedMLAI4CE
285
6,307
0
10 Dec 2019
Federated Learning: Challenges, Methods, and Future Directions
Federated Learning: Challenges, Methods, and Future Directions
Tian Li
Anit Kumar Sahu
Ameet Talwalkar
Virginia Smith
FedML
140
4,555
0
21 Aug 2019
The Roadmap to 6G -- AI Empowered Wireless Networks
The Roadmap to 6G -- AI Empowered Wireless Networks
Khaled B. Letaief
Wei Chen
Yuanming Shi
Jun Zhang
Y. Zhang
79
1,366
0
26 Apr 2019
Wireless Traffic Prediction with Scalable Gaussian Process: Framework,
  Algorithms, and Verification
Wireless Traffic Prediction with Scalable Gaussian Process: Framework, Algorithms, and Verification
Yue Xu
Feng Yin
Wenjun Xu
Jiaru Lin
Shuguang Cui
88
99
0
13 Feb 2019
Towards Federated Learning at Scale: System Design
Towards Federated Learning at Scale: System Design
Keith Bonawitz
Hubert Eichner
W. Grieskamp
Dzmitry Huba
A. Ingerman
...
H. B. McMahan
Timon Van Overveldt
David Petrou
Daniel Ramage
Jason Roselander
FedML
128
2,676
0
04 Feb 2019
Learning Private Neural Language Modeling with Attentive Aggregation
Learning Private Neural Language Modeling with Attentive Aggregation
Shaoxiong Ji
Shirui Pan
Guodong Long
Xue Li
Jing Jiang
Zi Huang
FedMLMoMe
85
142
0
17 Dec 2018
Federated Optimization in Heterogeneous Networks
Federated Optimization in Heterogeneous Networks
Tian Li
Anit Kumar Sahu
Manzil Zaheer
Maziar Sanjabi
Ameet Talwalkar
Virginia Smith
FedML
192
5,247
0
14 Dec 2018
Artificial Intelligence-Defined 5G Radio Access Networks
Artificial Intelligence-Defined 5G Radio Access Networks
Miao Yao
Munawwar M. Sohul
Vuk Marojevic
Jeffrey H. Reed
AI4CE
64
94
0
21 Nov 2018
Federated Learning with Non-IID Data
Federated Learning with Non-IID Data
Yue Zhao
Meng Li
Liangzhen Lai
Naveen Suda
Damon Civin
Vikas Chandra
FedML
180
2,587
0
02 Jun 2018
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows
  Prediction
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
Junbo Zhang
Yu Zheng
Dekang Qi
3DPCAI4TS
133
2,065
0
01 Oct 2016
The Learning and Prediction of Application-level Traffic Data in
  Cellular Networks
The Learning and Prediction of Application-level Traffic Data in Cellular Networks
Rongpeng Li
Zhifeng Zhao
Jianchao Zheng
Chengli Mei
Yueming Cai
Honggang Zhang
56
10
0
15 Jun 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
417
17,653
0
17 Feb 2016
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