Ramy E. Ali

Patents

1. H. Kwon, M. Mahmoud, F. Penna, Y. Zhou, RE. Ali, Method and Apparatus for Learning-based Channel Matrix Prediction, US Patent 20,240,063,852, 2024.

Journal Papers

1. Saeid Sahraei, A. Salman Avestimehr and Ramy E. Ali, Info-Commit: Information-Theoretic Polynomial Commitment, IEEE Transactions on Information Forensics and Security, 2022.

2. Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, A. Salman Avestimehr, List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier, IEEE Journal on Selected Areas in Information Theory (JSAIT), 2021.

3. Ramy E. Ali and Viveck R. Cadambe, Fundamental Limits of Erasure-Coded Key-Value Stores with Side Information, IEEE Transactions on Communications, 2020.

4. Ramy E. Ali and Viveck R. Cadambe, Harnessing Correlations in Distributed Erasure-Coded Key-Value Stores, IEEE Transactions on Communications, 2019.

Conference Papers

1. Yue Niu, Ramy E. Ali, Saurav Prakash and Salman Avestimehr, All Rivers Run to the Sea: Private Learning with Asymmetric Flows, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024.

2. Jinhyun So *, Ramy E. Ali *, Basak Guler, Jiantao Jiao and A. Salman Avestimehr, Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning, AAAI-2023 (Acceptance Rate 19.6%).

3. August Deer, Ramy E. Ali and A. Salman Avestimehr, On Multi-Round Privacy in Federated Learning, Asilomar, 2022 (Part of the High School Apprenticeship, Summer 2021).

4. Chien-Sheng Yang, Jinhyun So, Chaoyang He, Songze Li, Qian Yu, Ramy E. Ali, Basak Guler and Salman Avestimehr, LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning, MLSys 2022, (Acceptance Rate 20.6%), (Slides).

5. Jinhyun So *, Ramy E. Ali *, Basak Guler, Jiantao Jiao and A. Salman Avestimehr, Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning, FL-AAAI workshop, 2022.

6. Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, A. Salman Avestimehr, ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems, AAAI-2022, Vancouver, BC, Canada (Acceptance Rate 15%).

7. Tingting Tang, Ramy E. Ali, Hanieh Hashemi, Tynan Gangwani, Salman Avestimehr and Murali Annavaram, Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning, IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2022 (1st Round Acceptance Rate 9.7%).

8. Jinhyun So, Ramy E. Ali, Basak Guler and A. Salman Avestimehr, Secure Aggregation for Buffered Asynchronous Federated Learning, NeurIPS 2021 Workshop on New Frontiers in Federated Learning (NFFL): Privacy, Fairness, Robustness, Personalization and Data Ownership.

9. Yue Niu, Ramy E. Ali and A. Salman Avestimehr, AsymML: An Asymmetric Decomposition Framework for Privacy-Preserving DNN Training and Inference

10. Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, A. Salman Avestimehr, List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier, in IEEE ISIT, Melbourne, Victoria, Australia, July 2021.

11. Ramy E. Ali, Consistency Analysis of Replication-Based Probabilistic Key-Value Stores, Proceedings of IEEE International Conference on Communications (ICC), Montreal, Canada, June 2021.

12. Ramy E. Ali *, Jinhyun So * and A. Salman Avestimehr, On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks, NeurIPS Workshop on Privacy Preserving Machine Learning (PPML & PRIML), Dec 2020 (More Recent Slides).

13. Ramy E. Ali, Bilgehan Erman, Ejder Bastug and Bruce Cilli, Hierarchical Deep Double Q-Routing, Proceedings of IEEE International Conference on Communications (ICC), Dublin, Ireland, June 2020.

14. Ramy E. Ali and Viveck R. Cadambe, Multi-version Coding with Side Information, in IEEE ISIT, Vail, Colorado, USA, June 2018.

15. Ramy E. Ali, Viveck R. Cadambe, Consistent Distributed Storage of Correlated Data Updates Via Multi-version Coding, in IEEE ITW, Cambridge, United Kingdom, September 2016.

16. Ramy E. Ali, Hany Elgala, Energy Efficient LED Layout Optimization for Near-Uniform Illumination, in the Fifteenth International Conference on Solid State Lighting and LED-based Illumination Systems (SPIE Optical Engineering+ Applications), San Diego, California August 2016. (Newport Research Excellence Award)

17. Ramy E. Ali, Fadel Digham, Karim G. Seddik, Mohamed Nafie, Amr El-Keyi and Zhu Han, A Probabilistic MAC for Cognitive Radio Systems with Energy Harvesting Nodes, IEEE GlobalSIP, Atlanta, Georgia, USA, Dec. 2014.

18. Ramy E. Ali, Karim G. Seddik, Mohamed Nafie and Fadel Digham, A Pricing-based Cooperative Spectrum Sharing Stackelberg Game, in Proceedings of WiOpt, Hammamet, Tunisia, May 2014.

Ph.D. Dissertation

• Harnessing Data Correlation and Network Information in Distributed Key-Value Stores, Penn State, 2020.

M.Sc. Dissertation

• On Dynamic Spectrum Sharing: Pricing and Energy-Based Secondary Spectrum Access, Nile University, 2014