| 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 | 351 | 2020 |
| Speeding up distributed gradient descent by utilizing non-persistent stragglers E Ozfatura, D Gündüz, S Ulukus 2019 IEEE International Symposium on Information Theory (ISIT), 2729-2733, 2019 | 83 | 2019 |
| 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 | 68 | 2020 |
| Dopamine: Differentially private federated learning on medical data M Malekzadeh, B Hasircioglu, N Mital, K Katarya, ME Ozfatura, D Gündüz arXiv preprint arXiv:2101.11693, 2021 | 62 | 2021 |
| Time-correlated sparsification for communication-efficient federated learning E Ozfatura, K Ozfatura, D Gündüz 2021 IEEE International Symposium on Information Theory (ISIT), 461-466, 2021 | 59 | 2021 |
| Mobility and popularity-aware coded small-cell caching E Ozfatura, D Gündüz IEEE Communications Letters 22 (2), 288-291, 2017 | 55 | 2017 |
| Distributed gradient descent with coded partial gradient computations E Ozfatura, S Ulukus, D Gündüz ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 46 | 2019 |
| Straggler-aware distributed learning: Communication–computation latency trade-off E Ozfatura, S Ulukus, D Gündüz Entropy 22 (5), 544, 2020 | 43 | 2020 |
| Fedadc: Accelerated federated learning with drift control E Ozfatura, K Ozfatura, D Gündüz 2021 IEEE International Symposium on Information Theory (ISIT), 467-472, 2021 | 42 | 2021 |
| Gradient coding with clustering and multi-message communication E Ozfatura, D Gündüz, S Ulukus 2019 IEEE Data Science Workshop (DSW), 42-46, 2019 | 36 | 2019 |
| Coded distributed computing with partial recovery E Ozfatura, S Ulukus, D Gündüz IEEE Transactions on Information Theory 68 (3), 1945-1959, 2021 | 35 | 2021 |
| Decentralized SGD with Over-the-Air Computation E Ozfatura, S Rini, D Gündüz 2020 IEEE Global Communications Conference GLOBECOM 2020, 2020 | 35 | 2020 |
| Semi-decentralized federated learning with collaborative relaying M Yemini, R Saha, E Ozfatura, D Gündüz, AJ Goldsmith 2022 IEEE International Symposium on Information Theory (ISIT), 1471-1476, 2022 | 29 | 2022 |
| Age-based coded computation for bias reduction in distributed learning E Ozfatura, B Buyukates, D Gündüz, S Ulukus GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 26 | 2020 |
| Mobility-aware coded storage and delivery E Ozfatura, D Gündüz IEEE Transactions on Communications 68 (6), 3275-3285, 2020 | 25 | 2020 |
| Gradient coding with dynamic clustering for straggler-tolerant distributed learning B Buyukates, E Ozfatura, S Ulukus, D Gündüz IEEE Transactions on Communications 71 (6), 3317-3332, 2022 | 22* | 2022 |
| All you need is feedback: Communication with block attention feedback codes E Ozfatura, Y Shao, AG Perotti, BM Popović, D Gündüz IEEE Journal on Selected Areas in Information Theory 3 (3), 587-602, 2022 | 21 | 2022 |
| Optimal network-assisted multiuser DASH video streaming E Ozfatura, O Ercetin, H Inaltekin IEEE Transactions on Broadcasting 64 (2), 247-265, 2018 | 20 | 2018 |
| Attentioncode: Ultra-reliable feedback codes for short-packet communications Y Shao, E Ozfatura, AG Perotti, BM Popović, D Gündüz IEEE Transactions on Communications 71 (8), 4437-4452, 2023 | 18 | 2023 |
| Uncoded caching and cross-level coded delivery for non-uniform file popularity E Ozfatura, D Gündüz IEEE Transactions on Information Theory 68 (10), 6842-6859, 2022 | 18 | 2022 |
Deniz GunduzProfessor of Information Processing, Imperial College London在 imperial.ac.uk 的电子邮件经过验证
