Stebėti
Emre Ozfatura
Emre Ozfatura
Imperial College London / Ericsson Research UK
Patvirtintas el. paštas imperial.ac.uk
Pavadinimas
Cituota
Cituota
Metai
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
4192020
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
882019
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
752021
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, 2021
752021
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
692021
Mobility and popularity-aware coded small-cell caching
E Ozfatura, D Gündüz
IEEE Communications Letters 22 (2), 288-291, 2017
562017
Fedadc: Accelerated federated learning with drift control
E Ozfatura, K Ozfatura, D Gündüz
2021 IEEE International Symposium on Information Theory (ISIT), 467-472, 2021
502021
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
492019
Straggler-aware distributed learning: Communication–computation latency trade-off
E Ozfatura, S Ulukus, D Gündüz
Entropy 22 (5), 544, 2020
472020
Decentralized SGD with Over-the-Air Computation
E Ozfatura, S Rini, D Gündüz
2020 IEEE Global Communications Conference GLOBECOM 2020, 2020
422020
Gradient coding with clustering and multi-message communication
E Ozfatura, D Gündüz, S Ulukus
2019 IEEE Data Science Workshop (DSW), 42-46, 2019
422019
Coded distributed computing with partial recovery
E Ozfatura, S Ulukus, D Gündüz
IEEE Transactions on Information Theory 68 (3), 1945-1959, 2021
412021
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
382022
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
312020
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
29*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
282022
Mobility-aware coded storage and delivery
E Ozfatura, D Gündüz
IEEE Transactions on Communications 68 (6), 3275-3285, 2020
272020
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
242023
Optimal network-assisted multiuser DASH video streaming
E Ozfatura, O Ercetin, H Inaltekin
IEEE Transactions on Broadcasting 64 (2), 247-265, 2018
222018
Transformer-aided wireless image transmission with channel feedback
H Wu, Y Shao, E Ozfatura, K Mikolajczyk, D Gündüz
IEEE Transactions on Wireless Communications, 2024
212024
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