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"

50 / 110 papers shown

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 16 1 0 15 Apr 2022
Machine Learning for Encrypted Malicious Traffic Detection: Approaches, Datasets and Comparative Study Zihao Wang Fok Kar Wai V. Thing AAML 8 72 0 17 Mar 2022
Deep Convolutional Learning-Aided Detector for Generalized Frequency Division Multiplexing with Index Modulation Merve Turhan Ersin Öztürk H. A. Çırpan 19 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 16 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 25 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 21 9 0 14 Oct 2021
Progressive Transmission and Inference of Deep Learning Models Youngsoo Lee Sangdoo Yun Yeonghun Kim Sunghee Choi 22 2 0 03 Oct 2021
Digital Signal Processing Using Deep Neural Networks Brian Shevitski Y. Watkins Nicole Man Michael Girard AI4CE 31 4 0 21 Sep 2021
Link Scheduling using Graph Neural Networks Zhongyuan Zhao Gunjan Verma Chirag R. Rao A. Swami Santiago Segarra GNN 24 33 0 12 Sep 2021
Machine Learning Methods for Management UAV Flocks -- a Survey Rina Azoulay Yoram Haddad S. Reches 28 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 32 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 23 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 28 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 13 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 19 22 0 12 Mar 2021
Applications of deep learning in traffic congestion detection, prediction and alleviation: A survey Nishant Kumar Martin Raubal AI4TS AI4CE 25 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 47 111 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 Choong Seon Hong FedML 21 49 0 25 Nov 2020
Distributed Scheduling using Graph Neural Networks Zhongyuan Zhao Gunjan Verma Chirag R. Rao A. Swami Santiago Segarra GNN 22 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 23 386 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 24 13 0 27 Jul 2020
Adaptive Bitrate Video Streaming for Wireless nodes: A Survey Kamran Nishat O. Gnawali A. Abdelhadi 9 1 0 27 Jul 2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights Shail Dave Riyadh Baghdadi Tony Nowatzki Sasikanth Avancha Aviral Shrivastava Baoxin Li 59 81 0 02 Jul 2020
Deep unfolding of the weighted MMSE beamforming algorithm Lissy Pellaco M. Bengtsson Joakim Jaldén 24 21 0 15 Jun 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies Yu Huang Yue Chen 3DPC 49 83 0 10 Jun 2020
Efficient Federated Learning over Multiple Access Channel with Differential Privacy Constraints Amir Sonee Stefano Rini 8 16 0 15 May 2020
DeepRx: Fully Convolutional Deep Learning Receiver Mikko Honkala D. Korpi Janne M. 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 24 19 0 18 Mar 2020
Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning Witold Wydmański S. Szott 19 48 0 03 Mar 2020
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning Dor Livne Kobi Cohen 29 50 0 14 Jan 2020
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning Wei Niu Xiaolong Ma Sheng Lin Shihao Wang Xuehai Qian X. Lin Yanzhi Wang Bin Ren MQ 23 226 0 01 Jan 2020
Federated Learning with Cooperating Devices: A Consensus Approach for Massive IoT Networks S. Savazzi M. Nicoli V. Rampa FedML 13 305 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 32 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 26 68 0 06 Nov 2019
Mobile Traffic Classification through Physical Channel Fingerprinting: a Deep Learning Approach H. D. Trinh Ángel Fernández Gambín L. Giupponi M. Rossi Paolo Dini 12 31 0 25 Oct 2019
JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training José Á. Morell Andrés Camero Enrique Alba 21 9 0 12 Oct 2019
CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting Chaoyun Zhang M. Fiore Iain Murray P. Patras 3DPC AI4TS 23 32 0 29 Jul 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 49 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 30 194 0 07 Jul 2019
Accelerating DNN Training in Wireless Federated Edge Learning Systems Jinke Ren Guanding Yu Guangyao Ding FedML 26 168 0 23 May 2019
Deep Reinforcement Learning for Scheduling in Cellular Networks Jian Wang Chen Xu Yourui Huangfu Rong Li Yiqun Ge Jun Wang 19 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 33 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 28 49 0 22 Nov 2018
Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues Yaohua Sun M. Peng Yangcheng Zhou Yuzhe Huang S. Mao 16 429 0 24 Sep 2018