Deniz Gunduz

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Citations	12998	8909
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HV PoorMichael Henry Strater University Professor, Princeton UniversityVerified email at princeton.edu
Elza ErkipNew York UniversityVerified email at nyu.edu
Mohammad Mohammadi AmiriPostdoctoral in MITVerified email at mit.edu
Emre OzfaturaImperial College LondonVerified email at imperial.ac.uk
Jesús Gómez VilardebóResearcher at CTTCVerified email at cttc.es
Qianqian YangZJU Young Professor at Zhejiang universityVerified email at zju.edu.cn
David Burth KurkaDell / Imperial College LondonVerified email at imperial.ac.uk
Osvaldo SimeoneKing's College LondonVerified email at kcl.ac.uk
Aylin YenerRoy and Lois Chope Professor, The Ohio State UniversityVerified email at ece.osu.edu
Ertem TuncelProfessor of Electrical EngineeringVerified email at ee.ucr.edu
Inaki Estella AguerriAmazonVerified email at amazon.com
Mahdi Boloursaz MashhadiLecturer at University of SurreyVerified email at surrey.ac.uk
Giulio GiaconiSr. Data Scientist, OfcomVerified email at ofcom.org.uk
Mikolaj JankowskiImperial College LondonVerified email at imperial.ac.uk
Sanjeev KulkarniProfessor of Electrical Engineering, Princeton UniversityVerified email at princeton.edu
Pol Blasco MorenoMarfeelVerified email at marfeel.com
David GesbertProfessor of Electrical Engineering, Dean and Director at EURECOMVerified email at eurecom.fr
Sreejith SreekumarCornell UniversityVerified email at cornell.edu
Borzoo RassouliSenior Research Scientist at Nokia Bell LabsVerified email at nokia-bell-labs.com
Yulin ShaoLecturer in Engineering, University of ExeterVerified email at exeter.ac.uk

Deniz Gunduz

Professor of Information Processing, Imperial College London

Verified email at imperial.ac.uk - Homepage

Wireless Communications Information Theory Privacy Machine learning


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The multiway relay channel D Gunduz, A Yener, A Goldsmith, HV Poor IEEE Transactions on Information Theory 59 (1), 51-63, 2013	525	2013
Machine learning at the wireless edge: Distributed stochastic gradient descent over-the-air MM Amiri, D Gündüz IEEE Transactions on Signal Processing 68, 2155-2169, 2020	450	2020
Federated learning over wireless fading channels MM Amiri, D Gündüz IEEE Transactions on Wireless Communications 19 (5), 3546-3557, 2020	407	2020
Designing intelligent energy harvesting communication systems D Gunduz, K Stamatiou, N Michelusi, M Zorzi IEEE communications magazine 52 (1), 210-216, 2014	353	2014
Learning-based optimization of cache content in a small cell base station P Blasco, D Gündüz 2014 IEEE international conference on communications (ICC), 1897-1903, 2014	351	2014
Deep joint source-channel coding for wireless image transmission E Bourtsoulatze, DB Kurka, D Gündüz IEEE Transactions on Cognitive Communications and Networking 5 (3), 567-579, 2019	328	2019
A learning theoretic approach to energy harvesting communication system optimization P Blasco, D Gunduz, M Dohler IEEE Transactions on Wireless Communications 12 (4), 1872-1882, 2013	306	2013
Opportunistic cooperation by dynamic resource allocation D Gunduz, E Erkip IEEE Transactions on Wireless Communications 6 (4), 2007	295	2007
Wireless content caching for small cell and D2D networks M Gregori, J Gómez-Vilardebó, J Matamoros, D Gündüz IEEE Journal on Selected Areas in Communications 34 (5), 1222-1234, 2016	268	2016
A general framework for the optimization of energy harvesting communication systems with battery imperfections B Devillers, D Gündüz Journal of Communications and Networks 14 (2), 130-139, 2012	261	2012
Hierarchical federated learning across heterogeneous cellular networks MSH Abad, E Ozfatura, D Gunduz, O Ercetin ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020	247	2020
Average age of information with hybrid ARQ under a resource constraint ET Ceran, D Gündüz, A György IEEE Transactions on Wireless Communications 18 (3), 1900-1913, 2019	215	2019
Two-hop communication with energy harvesting D Gündüz, B Devillers 2011 4th IEEE International Workshop on Computational Advances in Multi …, 2011	213	2011
One-bit over-the-air aggregation for communication-efficient federated edge learning: Design and convergence analysis G Zhu, Y Du, D Gündüz, K Huang IEEE Transactions on Wireless Communications 20 (3), 2120-2135, 2020	200	2020
Machine learning in the air D Gündüz, P de Kerret, ND Sidiropoulos, D Gesbert, CR Murthy, ... IEEE Journal on Selected Areas in Communications 37 (10), 2184-2199, 2019	196	2019
Distributed learning in wireless networks: Recent progress and future challenges M Chen, D Gündüz, K Huang, W Saad, M Bennis, AV Feljan, HV Poor IEEE Journal on Selected Areas in Communications 39 (12), 3579-3605, 2021	191	2021
Increasing smart meter privacy through energy harvesting and storage devices O Tan, D Gunduz, HV Poor IEEE Journal on Selected Areas in Communications 31 (7), 1331-1341, 2013	173	2013
Joint source–channel codes for MIMO block-fading channels D Gunduz, E Erkip Information Theory, IEEE Transactions on 54 (1), 116-134, 2008	136	2008
Fundamental limits of coded caching: Improved delivery rate-cache capacity tradeoff MM Amiri, D Gündüz IEEE Transactions on Communications 65 (2), 806-815, 2017	131	2017
DeepJSCC-f: Deep Joint Source-Channel Coding of Images With Feedback DB Kurka, D Gündüz IEEE Journal on Selected Areas in Information Theory 1 (1), 178-193, 2020	126	2020

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