Machine Learning in the Air

28 April 2019

Deniz Gunduz

Papers citing "Machine Learning in the Air"

29 / 29 papers shown

Title
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 30 7 0 07 Dec 2023
Knowledge Distillation Based Semantic Communications For Multiple Users Chenguang Liu Yuxin Zhou Yunfei Chen Shuang-Hua Yang 28 4 0 23 Nov 2023
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss T. Getu Georges Kaddoum M. Bennis 40 1 0 13 Sep 2023
Fairness-enhancing deep learning for ride-hailing demand prediction Yunhan Zheng Qingyi Wang Dingyi Zhuang Shenhao Wang Jinhua Zhao 41 12 0 10 Mar 2023
Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networks Zhan Gao Deniz Gunduz GNN 38 1 0 16 Feb 2023
ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental Platforms Michele Polese Leonardo Bonati Salvatore D’oro S. Basagni Tommaso Melodia 29 148 0 17 Dec 2021
Learning OFDM Waveforms with PAPR and ACLR Constraints Mathieu Goutay Fayccal Ait Aoudia J. Hoydis J. Gorce 21 4 0 21 Oct 2021
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models Yunhan Zheng Shenhao Wang Jinhuan Zhao HAI 24 27 0 25 Sep 2021
Denoising Noisy Neural Networks: A Bayesian Approach with Compensation Yulin Shao Soung Chang Liew Deniz Gunduz 56 14 0 22 May 2021
A Survey on Reinforcement Learning-Aided Caching in Mobile Edge Networks Nikolaos Nomikos Spyros Zoupanos Themistoklis Charalambous I. Krikidis Athina P. Petropulu 28 1 0 12 May 2021
Bayesian Federated Learning over Wireless Networks Seunghoon Lee Chanhoo Park Songnam Hong Yonina C. Eldar Namyoon Lee 31 23 0 31 Dec 2020
Machine Learning for MU-MIMO Receive Processing in OFDM Systems Mathieu Goutay Fayçal Ait Aoudia J. Hoydis J. Gorce 13 23 0 15 Dec 2020
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Shuyan Hu Xiaojing Chen Wei Ni Ekram Hossain Xin Wang AI4CE 47 111 0 02 Dec 2020
A Comprehensive Overview on 5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence Qingqing Wu Jie Xu Yong Zeng Derrick Wing Kwan Ng N. Al-Dhahir R. Schober A. L. Swindlehurst 37 352 0 19 Oct 2020
Delay Minimization for Federated Learning Over Wireless Communication Networks Zhaohui Yang Mingzhe Chen Walid Saad Choong Seon Hong M. Shikh-Bahaei H. Vincent Poor Shuguang Cui FedML 21 53 0 05 Jul 2020
Deep unfolding of the weighted MMSE beamforming algorithm Lissy Pellaco M. Bengtsson Joakim Jaldén 27 21 0 15 Jun 2020
Distributed Deep Convolutional Compression for Massive MIMO CSI Feedback Mahdi Boloursaz Mashhadi Qianqian Yang Deniz Gunduz 12 92 0 07 Mar 2020
Deep Learning for Massive MIMO Channel State Acquisition and Feedback Mahdi Boloursaz Mashhadi Deniz Gündüz 19 29 0 17 Feb 2020
Data-Driven Symbol Detection via Model-Based Machine Learning Nariman Farsad Nir Shlezinger Andrea J. Goldsmith Yonina C. Eldar 29 49 0 14 Feb 2020
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection Nir Shlezinger Rong Fu Yonina C. Eldar 45 102 0 08 Feb 2020
Machine Intelligence at the Edge with Learning Centric Power Allocation Shuai Wang Yik-Chung Wu Minghua Xia Rui-cang Wang H. Vincent Poor 35 66 0 12 Nov 2019
Energy Efficient Federated Learning Over Wireless Communication Networks Zhaohui Yang Mingzhe Chen Walid Saad Choong Seon Hong M. Shikh-Bahaei 30 681 0 06 Nov 2019
CNN-based Analog CSI Feedback in FDD MIMO-OFDM Systems Mahdi Boloursaz Mashhadi Qianqian Yang Deniz Gunduz 11 24 0 23 Oct 2019
Hierarchical Federated Learning Across Heterogeneous Cellular Networks Mehdi Salehi Heydar Abad Emre Ozfatura Deniz Gunduz Ozgur Ercetin FedML 27 309 0 05 Sep 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
Deep Convolutional Compression for Massive MIMO CSI Feedback Qianqian Yang Mahdi Boloursaz Mashhadi Deniz Gündüz 11 57 0 02 Jul 2019
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 743 0 13 Dec 2018
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 89 2,172 0 02 Feb 2017
Learning to Decode Linear Codes Using Deep Learning Eliya Nachmani Yair Be’ery D. Burshtein 95 456 0 16 Jul 2016