Mohammad Mohammadi Amiri

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Deniz GunduzProfessor of Information Processing, Imperial College LondonVerified email at imperial.ac.uk
HV PoorMichael Henry Strater University Professor, Princeton UniversityVerified email at princeton.edu
Sanjeev KulkarniProfessor of Electrical Engineering, Princeton UniversityVerified email at princeton.edu
Qianqian YangZJU Young Professor at Zhejiang universityVerified email at zju.edu.cn
Tolga M. DumanBilkent UniversityVerified email at ee.bilkent.edu.tr
Yo-Seb JeonAssistant Professor, EE, POSTECHVerified email at postech.ac.kr
Jun LiNanjing University of Science and TechnologyVerified email at njust.edu.cn
David Burth KurkaKryptus S.A. / Imperial College LondonVerified email at imperial.ac.uk
Emre OzfaturaImperial College LondonVerified email at imperial.ac.uk
Mikolaj JankowskiImperial College LondonVerified email at imperial.ac.uk
Sreejith SreekumarCornell UniversityVerified email at cornell.edu
Mingzhe ChenAssistant Professor, Electrical and Computer Engineering Department, University of MiamiVerified email at miami.edu
Junlin ZhaoThe Chinese University of Hong Kong, ShenzhenVerified email at imperial.ac.uk
Ali OlfatProfessor of Electrical and Computer engineering, University of TehranVerified email at ut.ac.ir
Henrik HellströmPhD Student, KTH Royal Institute of TechnologyVerified email at kth.se
Viktoria FodorKTHVerified email at s3.kth.se
José Mairton Barros da Silva Jr.Postdoctoral Researcher, KTH - Royal Institute of TechnologyVerified email at kth.se
Carlo FischioneProfessor, KTH, EECS, Network and Systems EngineeringVerified email at kth.se
Behrouz MahamAssociate Professor, ECE Dept., Nazarbayev UniversityVerified email at nu.edu.kz
Namyoon LeeAssociate Professor, Korea UniversityVerified email at korea.ac.kr

Mohammad Mohammadi Amiri

Postdoctoral in MIT

Verified email at mit.edu - Homepage

Machine Learning Information Theory Wireless Communications Signal Processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	411	2020
Federated learning over wireless fading channels MM Amiri, D Gündüz IEEE Transactions on Wireless Communications 19 (5), 3546-3557, 2020	368	2020
Fundamental Limits of Coded Caching: Improved Delivery Rate-Cache Capacity Tradeoff MM Amiri, D Gündüz IEEE Transactions on Communications 65 (2), 806-815, 2017	126	2017
Convergence of update aware device scheduling for federated learning at the wireless edge MM Amiri, D Gündüz, SR Kulkarni, HV Poor IEEE Transactions on Wireless Communications 20 (6), 3643-3658, 2021	105	2021
Over-the-air machine learning at the wireless edge MM Amiri, D Gündüz 2019 IEEE 20th International Workshop on Signal Processing Advances in …, 2019	81	2019
Federated learning with quantized global model updates MM Amiri, D Gunduz, SR Kulkarni, HV Poor arXiv preprint arXiv:2006.10672, 2020	78	2020
Computation scheduling for distributed machine learning with straggling workers MM Amiri, D Gündüz IEEE Transactions on Signal Processing 67 (24), 6270-6284, 2019	74	2019
Coded caching for a large number of users MM Amiri, Q Yang, D Gündüz 2016 IEEE Information Theory Workshop (ITW), 171-175, 2016	69	2016
Cache-aided content delivery over erasure broadcast channels MM Amiri, D Gündüz IEEE Transactions on Communications 66 (1), 370-381, 2017	52	2017
Decentralized caching and coded delivery with distinct cache capacities MM Amiri, Q Yang, D Gündüz IEEE Transactions on Communications 65 (11), 4657-4669, 2017	51	2017
Blind federated edge learning MM Amiri, TM Duman, D Gündüz, SR Kulkarni, HV Poor IEEE Transactions on Wireless Communications 20 (8), 5129-5143, 2021	48	2021
Communicate to learn at the edge D Gündüz, DB Kurka, M Jankowski, MM Amiri, E Ozfatura, S Sreekumar IEEE Communications Magazine 58 (12), 14-19, 2020	47	2020
Update aware device scheduling for federated learning at the wireless edge MM Amiri, D Gündüz, SR Kulkarni, HV Poor 2020 IEEE International Symposium on Information Theory (ISIT), 2598-2603, 2020	46	2020
Convergence of federated learning over a noisy downlink MM Amiri, D Gündüz, SR Kulkarni, HV Poor IEEE Transactions on Wireless Communications 21 (3), 1422-1437, 2021	45	2021
Decentralized coded caching with distinct cache capacities MM Amiri, Q Yang, D Gündüz 2016 50th Asilomar Conference on Signals, Systems and Computers, 734-738, 2016	41	2016
A compressive sensing approach for federated learning over massive MIMO communication systems YS Jeon, MM Amiri, J Li, HV Poor IEEE Transactions on Wireless Communications 20 (3), 1990-2004, 2020	40	2020
Caching and coded delivery over Gaussian broadcast channels for energy efficiency MM Amiri, D Gündüz IEEE Journal on Selected Areas in Communications 36 (8), 1706-1720, 2018	33	2018
Cache-aided data delivery over erasure broadcast channels MM Amiri, D Gündüz 2017 IEEE International Conference on Communications (ICC), 1-6, 2017	15	2017
Decentralized caching and coded delivery over Gaussian broadcast channels MM Amiri, D Gündüz 2017 IEEE International Symposium on Information Theory (ISIT), 2785-2789, 2017	11	2017
Wireless for machine learning: A survey H Hellström, JMB da Silva Jr, MM Amiri, M Chen, V Fodor, HV Poor, ... Foundations and Trends® in Signal Processing 15 (4), 290-399, 2022	10	2022

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