| 2025 | ISIT | Personalized Heterogeneous Mean Estimation Under User-Level LDP. | Ruida Zhou, Antonious M. Girgis, Suhas N. Diggavi |
| 2023 | ICLR | A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy. | Kaan Ozkara, Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi |
| 2022 | ISIT | Distributed User-Level Private Mean Estimation. | Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi |
| 2021 | AISTATS | Shuffled Model of Differential Privacy in Federated Learning. | Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi, Peter Kairouz, Ananda Theertha Suresh |
| 2021 | CCS | On the Rnyi Differential Privacy of the Shuffle Model. | Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi, Ananda Theertha Suresh, Peter Kairouz |
| 2021 | ISIT | Differentially Private Federated Learning with Shuffling and Client Self-Sampling. | Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi |
| 2020 | ISIT | Hiding Identities: Estimation Under Local Differential Privacy. | Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi |
| 2019 | WCNC | Coded Caching and Spatial Multiplexing Gains in MIMO Interference Networks. | Antonious M. Girgis, zgr Eretin, Mohammed Nafie, Tamer A. ElBatt |
| 2018 | ACSSC | A Converse Bound for Cache-Aided Interference Networks. | Antonious M. Girgis, zgr Eretin, Mohammed Nafie, Tamer A. ElBatt |
| 2017 | ISIT | Decentralized coded caching in wireless networks: Trade-off between storage and latency. | Antonious M. Girgis, zgr Eretin, Mohammed Nafie, Tamer A. ElBatt |
| 2016 | GLOBECOM | Optimal Energy Allocation for Delay-Constrained Traffic over Fading Multiple Access Channels. | Antonious M. Girgis, Amr El-Keyi, Mohammed Nafie |
| 2016 | VTC | Proactive Location-Based Scheduling of Delay-Constrained Traffic over Fading Channels. | Antonious M. Girgis, Amr El-Keyi, Mohammed Nafie, Ramy H. Gohary |