Antonious M. Girgis

IEEE J. Sel. Areas Inf. Theory, 2024

Learning from straggler clients in federated learning.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Fundamental Limits of Cache-Aided MIMO Wireless Networks.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, June, 2023

A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Differentially Private Stochastic Linear Bandits: (Almost) for Free.

[BibT_eX]

[DOI]

CoRR, 2022

A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy.

[BibT_eX]

[DOI]

CoRR, 2022

Distributed User-Level Private Mean Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

Shuffled Model of Federated Learning: Privacy, Accuracy and Communication Trade-Offs.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2021

A Field Guide to Federated Optimization.

[BibT_eX]

[DOI]

CoRR, 2021

Renyi Differential Privacy of The Subsampled Shuffle Model In Distributed Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Differentially Private Federated Learning with Shuffling and Client Self-Sampling.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

On the Rényi Differential Privacy of the Shuffle Model.

[BibT_eX]

[DOI]

Peter Kairouz

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

Shuffled Model of Differential Privacy in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Successive Refinement of Privacy.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2020

Shuffled Model of Federated Learning: Privacy, Communication and Accuracy Trade-offs.

[BibT_eX]

[DOI]

CoRR, 2020

Hiding Identities: Estimation Under Local Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2020

2019

Fundamental Limits of Memory-Latency Tradeoff in Fog Radio Access Networks Under Arbitrary Demands.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2019

Coded Caching and Spatial Multiplexing Gains in MIMO Interference Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

2018

A Converse Bound for Cache-Aided Interference Networks.

[BibT_eX]

[DOI]

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Degrees of Freedom of Interference Networks with Transmitter-Side Caches.

[BibT_eX]

[DOI]

CoRR, 2017

Decentralized coded caching in wireless networks: Trade-off between storage and latency.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016

Proactive Location-Based Scheduling of Delay-Constrained Traffic over Fading Channels.

[BibT_eX]

[DOI]

Proceedings of the IEEE 84th Vehicular Technology Conference, 2016

Optimal Energy Allocation for Delay-Constrained Traffic over Fading Multiple Access Channels.

[BibT_eX]

[DOI]