Elsa Rizk

Kun Yuan

CoRR, 2024

2023

Privatized graph federated learning.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., December, 2023

Enforcing Privacy in Distributed Learning With Performance Guarantees.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

Decentralized Adversarial Training over Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

Local Graph-Homomorphic Processing for Privatized Distributed Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Multi-Agent Adversarial Training Using Diffusion Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Federated Learning Under Importance Sampling.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Decentralized Semi-supervised Learning over Multitask Graphs.

[BibT_eX]

[DOI]

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

A Graph Federated Architecture with Privacy Preserving Learning.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Optimal Importance Sampling for Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Tracking Performance of Online Stochastic Learners.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2020

Dynamic Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Second-Order Guarantees in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Network Classifiers With Output Smoothing.

[BibT_eX]

[DOI]

Roula Nassif