| The multiway relay channel D Gunduz, A Yener, A Goldsmith, HV Poor IEEE Transactions on Information Theory 59 (1), 51-63, 2013 | 527 | 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 | 506 | 2020 |
| Federated learning over wireless fading channels MM Amiri, D Gündüz IEEE Transactions on Wireless Communications 19 (5), 3546-3557, 2020 | 467 | 2020 |
| 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 | 462 | 2019 |
| 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 | 355 | 2014 |
| Designing intelligent energy harvesting communication systems D Gunduz, K Stamatiou, N Michelusi, M Zorzi IEEE communications magazine 52 (1), 210-216, 2014 | 355 | 2014 |
| 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 |
| 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 | 298 | 2020 |
| Opportunistic cooperation by dynamic resource allocation D Gunduz, E Erkip IEEE Transactions on Wireless Communications 6 (4), 2007 | 298 | 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 | 281 | 2016 |
| 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 | 276 | 2021 |
| 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 | 263 | 2012 |
| 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 | 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 | 235 | 2019 |
| 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 | 225 | 2019 |
| Two-hop communication with energy harvesting D Gündüz, B Devillers 2011 4th IEEE International Workshop on Computational Advances in Multi …, 2011 | 212 | 2011 |
| 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 | 177 | 2013 |
| 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 | 167 | 2020 |
| Joint source–channel codes for MIMO block-fading channels D Gunduz, E Erkip Information Theory, IEEE Transactions on 54 (1), 116-134, 2008 | 140 | 2008 |
| 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 | 136 | 2021 |
HV PoorMichael Henry Strater University Professor, Princeton University在 princeton.edu 的电子邮件经过验证
