| 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 | 68 | 2021 |
| Fedadc: Accelerated federated learning with drift control E Ozfatura, K Ozfatura, D Gündüz 2021 IEEE International Symposium on Information Theory (ISIT), 467-472, 2021 | 47 | 2021 |
| Byzantines can also learn from history: Fall of centered clipping in federated learning K Özfatura, E Özfatura, A Küpçü, D Gunduz IEEE Transactions on Information Forensics and Security 19, 2010-2022, 2023 | 11 | 2023 |
| Federated spatial reuse optimization in next-generation Decentralized IEEE 802.11 WLANs F Wilhelmi, J Hribar, SF Yilmaz, E Ozfatura, K Ozfatura, O Yildiz, ... arXiv preprint arXiv:2203.10472, 2022 | 9 | 2022 |
| Distributed sparse SGD with majority voting K Ozfatura, E Ozfatura, D Gunduz arXiv preprint arXiv:2011.06495, 2020 | 4 | 2020 |
| Less is More: Feature Selection for Adversarial Robustness with Compressive Counter-Adversarial Attacks E Ozfatura, MZ Hameed, K Ozfatura, D Gunduz arXiv preprint arXiv:2106.10252, 2021 | 1 | 2021 |
| Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning E Ozfatura, K Ozfatura, A Kupcu, D Gunduz arXiv preprint arXiv:2404.06230, 2024 | | 2024 |
Emre OzfaturaImperial College London / Ericsson Research UKDirección de correo verificada de imperial.ac.uk