Network Classifiers With Output Smoothing. - Elsa Rizk; Roula Nassif; Ali H. Sayed (CoRR, 2019)

Second-Order Guarantees in Federated Learning. - Stefan Vlaski; Elsa Rizk; Ali H. Sayed (ACSSC, 2020)

Dynamic Federated Learning. - Elsa Rizk; Stefan Vlaski; Ali H. Sayed (SPAWC, 2020)

Tracking Performance of Online Stochastic Learners. - Stefan Vlaski; Elsa Rizk; Ali H. Sayed (IEEE Signal Process. Lett., 2020)

Optimal Importance Sampling for Federated Learning. - Elsa Rizk; Stefan Vlaski; Ali H. Sayed (ICASSP, 2021)

A Graph Federated Architecture with Privacy Preserving Learning. - Elsa Rizk; Ali H. Sayed (SPAWC, 2021)

Decentralized Semi-supervised Learning over Multitask Graphs. - Maha Issa; Roula Nassif; Elsa Rizk; Ali H. Sayed (IEEECONF, 2022)

Federated Learning Under Importance Sampling. - Elsa Rizk; Stefan Vlaski; Ali H. Sayed (IEEE Trans. Signal Process., 2022)

Multi-Agent Adversarial Training Using Diffusion Learning. - Ying Cao; Elsa Rizk; Stefan Vlaski; Ali H. Sayed (ICASSP, 2023)

Local Graph-Homomorphic Processing for Privatized Distributed Systems. - Elsa Rizk; Stefan Vlaski; Ali H. Sayed (ICASSP, 2023)

Enforcing Privacy in Distributed Learning With Performance Guarantees. - Elsa Rizk; Stefan Vlaski; Ali H. Sayed (IEEE Trans. Signal Process., 2023)

Privatized graph federated learning. - Elsa Rizk; Stefan Vlaski; Ali H. Sayed (EURASIP J. Adv. Signal Process., 2023)

Asynchronous Diffusion Learning with Agent Subsampling and Local Updates. - Elsa Rizk; Kun Yuan 001; Ali H. Sayed (ICASSP, 2024)

Diffusion Learning with Partial Agent Participation and Local Updates. - Elsa Rizk; Kun Yuan; Ali H. Sayed (CoRR, 2025)

Decentralized Adversarial Training Over Graphs. - Ying Cao; Elsa Rizk; Stefan Vlaski; Ali H. Sayed (IEEE Trans. Inf. Theory, 2025)