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Ahmed R. Elkordy
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SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models
S Babakniya*, AR Elkordy*, YH Ezzeldin, Q Liu, KB Song, M El-Khamy, ...
NeurIPS 2023 Workshop on Federated Learning in the Age of Foundation Models, 2023
1452023
HeteroSAg: Secure aggregation with heterogeneous quantization in federated learning
AR Elkordy, AS Avestimehr
IEEE Transactions on Communications 70 (4), 2372-2386, 2022
129*2022
Loki: Large-scale data reconstruction attack against federated learning through model manipulation
JC Zhao, A Sharma, AR Elkordy, YH Ezzeldin, S Avestimehr, S Bagchi
2024 IEEE Symposium on Security and Privacy (SP), 1287-1305, 2024
792024
How Much Privacy Does Federated Learning with Secure Aggregation Guarantee?
AR Elkordy, J Zhang, YH Ezzeldin, K Psounis, S Avestimehr
23rd Privacy Enhancing Technologies Symposium (PETS 2023), 2022
592022
Basil: A fast and byzantine-resilient approach for decentralized training
AR Elkordy, S Prakash, S Avestimehr
IEEE Journal on Selected Areas in Communications || NeurIPS 2021 Workshop …, 2022
332022
Federated analytics: A survey
AR Elkordy, YH Ezzeldin, S Han, S Sharma, C He, S Mehrotra, ...
arXiv preprint arXiv:2302.01326, 2023
312023
The resource problem of using linear layer leakage attack in federated learning
JC Zhao, AR Elkordy, A Sharma, YH Ezzeldin, S Avestimehr, S Bagchi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
252023
Secure aggregation in federated learning is not private: Leaking user data at large scale through model modification
JC Zhao, A Sharma, AR Elkordy, YH Ezzeldin, S Avestimehr, S Bagchi
arXiv preprint arXiv:2303.12233 2 (3), 4, 2023
232023
Federated K-private set intersection
AR Elkordy, YH Ezzeldin, S Avestimehr
Proceedings of the 31st ACM International Conference on Information …, 2022
142022
Compressed coded distributed computing
AR Elkordy, S Li, MA Maddah-Ali, AS Avestimehr
IEEE Transactions on Communications 69 (5), 2773-2783, 2021
142021
Cache-aided fog radio access networks with partial connectivity
A Roushdy, AS Motahari, M Nafie, D Gündüz
2018 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2018
132018
How much privacy does federated learning with secure aggregation guarantee?(2022)
AR Elkordy, J Zhang, YH Ezzeldin, K Psounis, S Avestimehr
arXiv preprint arXiv:2208.02304, 2022
52022
Cache-aided combination networks with interference
AR Elkordy, AS Motahari, M Nafie, D Gündüz
IEEE Transactions on Wireless Communications 19 (1), 148-161, 2019
52019
Differentially private federated learning without noise addition: When is it possible?
J Zhang, K Psounis, S Avestimehr
arXiv preprint arXiv:2405.04551, 2024
12024
How Much Privacy Does Federated Learning with Secure Aggregation Guarantee?
A Roushdy Elkordy, J Zhang, YH Ezzeldin, K Psounis, S Avestimehr
arXiv e-prints, arXiv: 2208.02304, 2022
12022
System and method for hardware-aware pruning of conformer networks
A ELKORDY, BB MOHAMADABADI, M El-Khamy
US Patent App. 18/639,937, 2025
2025
Systems and methods for tuning parameters of a machine learning model for federated learning
AR ElKordy, S Babakniya, Q Liu, M El-Khamy, YHE Essa, ...
US Patent App. 18/646,660, 2024
2024
Federated Analytics: A survey
A Roushdy Elkordy, YH Ezzeldin, S Han, S Sharma, C He, S Mehrotra, ...
arXiv e-prints, arXiv: 2302.01326, 2023
2023
Basil: A Fast and Byzantine-Resilient Approach for Decentralized Training
A Roushdy Elkordy, S Prakash, A Salman Avestimehr
arXiv e-prints, arXiv: 2109.07706, 2021
2021
Secure Aggregation with Heterogeneous Quantization in Federated Learning
A Roushdy Elkordy, A Salman Avestimehr
arXiv e-prints, arXiv: 2009.14388, 2020
2020
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Articles 1–20