Deep Learning in Mobile and Wireless Networking: A Survey

12 March 2018

Hamed Haddadi

Papers citing "Deep Learning in Mobile and Wireless Networking: A Survey"

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Title
Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review Daniel Rosendo Alexandru Costan P. Valduriez Gabriel Antoniu 17 80 0 29 Apr 2022
Simulation of machine learning-based 6G systems in virtual worlds A. Oliveira Felipe Bastos Isabela Trindade Walter Frazao Arthur Nascimento D. Gomes Francisco Muller A. Klautau 14 1 0 15 Apr 2022
Deep Convolutional Learning-Aided Detector for Generalized Frequency Division Multiplexing with Index Modulation Merve Turhan Ersin Öztürk H. A. Çırpan 11 11 0 06 Feb 2022
Statistical Analysis Based Feature Selection Enhanced RF-PUF with >99.8% Accuracy on Unmodified Commodity Transmitters for IoT Physical Security Md. Faizul Bari Parv Agrawal Baibhab Chatterjee Shreyas Sen 11 3 0 18 Jan 2022
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems Martin Rapp R. Khalili Kilian Pfeiffer J. Henkel 19 18 0 16 Dec 2021
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration Yifan Gong Geng Yuan Zheng Zhan Wei Niu Zhengang Li ... Sijia Liu Bin Ren Xue Lin Xulong Tang Yanzhi Wang 18 10 0 22 Nov 2021
Federated learning and next generation wireless communications: A survey on bidirectional relationship Debaditya Shome Omer Waqar Wali Ullah Khan 26 31 0 14 Oct 2021
Secure Precoding in MIMO-NOMA: A Deep Learning Approach Jordan Pauls M. Vaezi 10 9 0 14 Oct 2021
Progressive Transmission and Inference of Deep Learning Models Youngsoo Lee Sangdoo Yun Yeonghun Kim Sunghee Choi 11 2 0 03 Oct 2021
Digital Signal Processing Using Deep Neural Networks Brian Shevitski Y. Watkins Nicole Man Michael Girard AI4CE 13 4 0 21 Sep 2021
Link Scheduling using Graph Neural Networks Zhongyuan Zhao Gunjan Verma Chirag R. Rao A. Swami Santiago Segarra GNN 14 33 0 12 Sep 2021
Machine Learning Methods for Management UAV Flocks -- a Survey Rina Azoulay Yoram Haddad S. Reches 15 10 0 30 Aug 2021
The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks J. Suárez-Varela Miquel Ferriol Galmés Albert Lopez Paul Almasan Guillermo Bernárdez ... H. Wissing Bo-Xi Wu Shihan Xiao Pere Barlet-Ros A. Cabellos-Aparicio 26 17 0 26 Jul 2021
A Survey on Reinforcement Learning-Aided Caching in Mobile Edge Networks Nikolaos Nomikos Spyros Zoupanos Themistoklis Charalambous I. Krikidis Athina P. Petropulu 18 1 0 12 May 2021
Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation Hojjat Navidan P. Moshiri M. Nabati Reza Shahbazian S. Ghorashi V. Shah-Mansouri David Windridge 13 83 0 10 May 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence Emna Baccour N. Mhaisen A. Abdellatif A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 26 86 0 04 May 2021
End-to-End Learning for Uplink MU-SIMO Joint Transmitter and Non-Coherent Receiver Design in Fading Channels Songyan Xue Yi Ma N. Yi 11 8 0 04 May 2021
Adversarial Machine Learning Security Problems for 6G: mmWave Beam Prediction Use-Case Evren Çatak Ferhat Ozgur Catak A. Moldsvor AAML 11 22 0 12 Mar 2021
Applications of deep learning in traffic congestion detection, prediction and alleviation: A survey Nishant Kumar Martin Raubal AI4TS AI4CE 17 88 0 19 Feb 2021
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection Yuanchun Li Jiayi Hua Haoyu Wang Chunyang Chen Yunxin Liu FedML SILM 86 75 0 18 Jan 2021
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Shuyan Hu Xiaojing Chen Wei Ni E. Hossain Xin Wang AI4CE 34 111 0 02 Dec 2020
Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks Minh N. H. Nguyen N. H. Tran Y. Tun Zhu Han C. Hong FedML 14 49 0 25 Nov 2020
Distributed Scheduling using Graph Neural Networks Zhongyuan Zhao Gunjan Verma Chirag R. Rao A. Swami Santiago Segarra GNN 12 50 0 18 Nov 2020
A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions N. Deepa Viet Quoc Pham Dinh C. Nguyen S. Bhattacharya B. Prabadevi Thippa Reddy Gadekallu Praveen Kumar Reddy Maddikunta Fang Fang P. Pathirana AI4CE 18 386 0 02 Sep 2020
Deep Multi-Task Learning for Cooperative NOMA: System Design and Principles Yuxin Lu Peng Cheng Zhuo Chen W. Mow Yonghui Li B. Vucetic 6 13 0 27 Jul 2020
Deep unfolding of the weighted MMSE beamforming algorithm Lissy Pellaco M. Bengtsson Joakim Jaldén 11 21 0 15 Jun 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies Yu Huang Yue Chen 3DPC 31 81 0 10 Jun 2020
Efficient Federated Learning over Multiple Access Channel with Differential Privacy Constraints Amir Sonee Stefano Rini 6 16 0 15 May 2020
DeepRx: Fully Convolutional Deep Learning Receiver M. Honkala D. Korpi J. Huttunen 30 133 0 04 May 2020
Machine Learning enabled Spectrum Sharing in Dense LTE-U/Wi-Fi Coexistence Scenarios Adam Dziedzic V. Sathya M. I. Rochman M. Ghosh S. Krishnan 14 19 0 18 Mar 2020
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning Dor Livne Kobi Cohen 24 50 0 14 Jan 2020
Federated Learning with Cooperating Devices: A Consensus Approach for Massive IoT Networks S. Savazzi M. Nicoli V. Rampa FedML 11 305 0 27 Dec 2019
Machine Intelligence at the Edge with Learning Centric Power Allocation Shuai Wang Yik-Chung Wu Minghua Xia Rui-cang Wang H. Vincent Poor 22 66 0 12 Nov 2019
Deep RAN: A Scalable Data-driven platform to Detect Anomalies in Live Cellular Network Using Recurrent Convolutional Neural Network Mohammad Rasoul Tanhatalab H. Yousefi H. Hosseini Mostafa Mofarah Bonab Vahid Fakharian Hadis Abarghouei 12 6 0 10 Nov 2019
The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey Olakunle Ibitoye Rana Abou-Khamis Mohamed el Shehaby Ashraf Matrawy M. O. Shafiq AAML 24 68 0 06 Nov 2019
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks Simon Wiedemann H. Kirchhoffer Stefan Matlage Paul Haase Arturo Marbán ... Ahmed Osman D. Marpe H. Schwarz Thomas Wiegand Wojciech Samek 38 92 0 27 Jul 2019
Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks Le Liang Hao Ye Guanding Yu Geoffrey Ye Li 14 194 0 07 Jul 2019
Accelerating DNN Training in Wireless Federated Edge Learning Systems Jinke Ren Guanding Yu Guangyao Ding FedML 13 168 0 23 May 2019
Deep Reinforcement Learning for Scheduling in Cellular Networks Jian Wang Chen Xu Yourui Huangfu Rong Li Yiqun Ge J. Wang 11 39 0 15 May 2019
Deep Learning for Large-Scale Real-World ACARS and ADS-B Radio Signal Classification Shichuan Chen Shilian Zheng Lifeng Yang Xiaoniu Yang 13 59 0 20 Apr 2019
Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets with Multi-stream Inputs Chaoyun Zhang Rui Li Woojin Kim Daesub Yoon P. Patras 26 49 0 22 Nov 2018
Auto-tuning Distributed Stream Processing Systems using Reinforcement Learning Luis M. Vaquero Félix Cuadrado OffRL 17 18 0 14 Sep 2018
Deep Learning Classification of 3.5 GHz Band Spectrograms with Applications to Spectrum Sensing W. Max Lees Adam Wunderlich Peter J. Jeavons P. Hale M. Souryal 19 87 0 19 Jun 2018
$All-Optical Machine Learning Using Diffractive Deep Neural Networks$ All-Optical Machine Learning Using Diffractive Deep Neural Networks Xing Lin Y. Rivenson N. Yardimci Muhammed Veli Mona Jarrahi Aydogan Ozcan 59 1,628 0 14 Apr 2018
ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network Chaoyun Zhang Xi Ouyang P. Patras 30 68 0 07 Nov 2017
TensorLayer: A Versatile Library for Efficient Deep Learning Development Hao Dong A. Supratak Luo Mai Fangde Liu A. Oehmichen Simiao Yu Yike Guo 48 114 0 26 Jul 2017
Deep Q-Learning for Self-Organizing Networks Fault Management and Radio Performance Improvement Faris B. Mismar B. Evans 30 29 0 10 Jul 2017
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 89 2,169 0 02 Feb 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 236 1,811 0 25 Nov 2016
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 6,743 0 26 Sep 2016