A probabilistic MAC for cognitive radio systems with energy harvesting nodes. - Ramy E. Ali; Fadel F. Digham; Karim G. Seddik; Mohammed Nafie; Amr El-Keyi; Zhu Han 001 (GlobalSIP, 2014)

A pricing-based cooperative spectrum sharing stackelberg game. - Ramy E. Ali; Karim G. Seddik; Mohammed Nafie; Fadel F. Digham (WiOpt, 2014)

Consistent distributed storage of correlated data updates via multi-version coding. - Ramy E. Ali; Viveck R. Cadambe (ITW, 2016)

Multi-version Coding for Consistent Distributed Storage of Correlated Data Updates. - Ramy E. Ali; Viveck R. Cadambe (CoRR, 2017)

Multi-version Coding with Side Information. - Ramy E. Ali; Viveck R. Cadambe; Jaime Llorca; Antonia M. Tulino (ISIT, 2018)

Harnessing Correlations in Distributed Erasure-Coded Key-Value Stores. - Ramy E. Ali; Viveck R. Cadambe (IEEE Trans. Commun., 2019)

Hierarchical Deep Double Q-Routing. - Ramy E. Ali; Bilgehan Erman; Ejder Bastug; Bruce Cilli (ICC, 2020)

On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks. - Ramy E. Ali; Jinhyun So; Amir Salman Avestimehr (CoRR, 2020)

Fundamental Limits of Erasure-Coded Key-Value Stores With Side Information. - Ramy E. Ali; Viveck R. Cadambe; Jaime Llorca; Antonia M. Tulino (IEEE Trans. Commun., 2020)

Consistency Analysis of Replication-Based Probabilistic Key-Value Stores. - Ramy E. Ali (ICC, 2021)

Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning. - Tingting Tang; Ramy E. Ali; Hanieh Hashemi; Tynan Gangwani; Salman Avestimehr; Murali Annavaram (CoRR, 2021)

AsymML: An Asymmetric Decomposition Framework for Privacy-Preserving DNN Training and Inference. - Yue Niu; Ramy E. Ali; Salman Avestimehr (CoRR, 2021)

Secure Aggregation for Buffered Asynchronous Federated Learning. - Jinhyun So; Ramy E. Ali; Basak Güler; Amir Salman Avestimehr (CoRR, 2021)

Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning. - Jinhyun So; Ramy E. Ali; Basak Guler; Jiantao Jiao; Salman Avestimehr (IACR Cryptol. ePrint Arch., 2021)

List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier. - Mahdi Soleymani; Ramy E. Ali; Hessam Mahdavifar; Amir Salman Avestimehr (IEEE J. Sel. Areas Inf. Theory, 2021)

ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems. - Mahdi Soleymani; Ramy E. Ali; Hessam Mahdavifar; Amir Salman Avestimehr (AAAI, 2022)

On Multi-Round Privacy in Federated Learning. - August Deer; Ramy E. Ali; Amir Salman Avestimehr (IEEECONF, 2022)

Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning. - Tingting Tang; Ramy E. Ali; Hanieh Hashemi; Tynan Gangwani; Salman Avestimehr; Murali Annavaram (IPDPS, 2022)

LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning. - Jinhyun So; Corey J. Nolet; Chien-Sheng Yang; Songze Li; Qian Yu 001; Ramy E. Ali; Basak Guler; Salman Avestimehr (MLSys, 2022)

3LegRace: Privacy-Preserving DNN Training over TEEs and GPUs. - Yue Niu; Ramy E. Ali; Salman Avestimehr (Proc. Priv. Enhancing Technol., 2022)

Info-Commit: Information-Theoretic Polynomial Commitment. - Saeid Sahraei; Amir Salman Avestimehr; Ramy E. Ali (IEEE Trans. Inf. Forensics Secur., 2022)

Comments on CausalEC: A Causally Consistent Data Storage Algorithm Based on Cross-Object Erasure Coding. - Ramy E. Ali (CoRR, 2023)

All Rivers Run to the Sea: Private Learning with Asymmetric Flows. - Yue Niu; Ramy E. Ali; Saurav Prakash; Salman Avestimehr (CVPR, 2024)