Elsa Rizk

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 25

Top Topics

Privacy Preserving

Online Learning Environment

Importance Sampling

Distributed Learning

Top Venues

IEEE Trans. Signal Process.

Publications

Elsa Rizk, Kun Yuan, Ali H. Sayed
Asynchronous Diffusion Learning with Agent Subsampling and Local Updates. ICASSP (2024)
Elsa Rizk, Kun Yuan, Ali H. Sayed
Asynchronous Diffusion Learning with Agent Subsampling and Local Updates. CoRR (2024)
Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Enforcing Privacy in Distributed Learning With Performance Guarantees. IEEE Trans. Signal Process. 71 (2023)
Ying Cao, Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Decentralized Adversarial Training over Graphs. CoRR (2023)
Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Privatized graph federated learning. EURASIP J. Adv. Signal Process. 2023 (1) (2023)
Ying Cao, Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Multi-Agent Adversarial Training Using Diffusion Learning. ICASSP (2023)
Ying Cao, Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Multi-Agent Adversarial Training Using Diffusion Learning. CoRR (2023)
Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Enforcing Privacy in Distributed Learning with Performance Guarantees. CoRR (2023)
Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Local Graph-Homomorphic Processing for Privatized Distributed Systems. ICASSP (2023)
Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Local Graph-homomorphic Processing for Privatized Distributed Systems. CoRR (2022)
Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Federated Learning Under Importance Sampling. IEEE Trans. Signal Process. 70 (2022)
Maha Issa, Roula Nassif, Elsa Rizk, Ali H. Sayed
Decentralized Semi-supervised Learning over Multitask Graphs. IEEECONF (2022)
Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Privatized Graph Federated Learning. CoRR (2022)
Elsa Rizk, Ali H. Sayed
A Graph Federated Architecture with Privacy Preserving Learning. SPAWC (2021)
Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Optimal Importance Sampling for Federated Learning. ICASSP (2021)
Elsa Rizk, Ali H. Sayed
A Graph Federated Architecture with Privacy Preserving Learning. CoRR (2021)
Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Optimal Importance Sampling for Federated Learning. CoRR (2020)
Stefan Vlaski, Elsa Rizk, Ali H. Sayed
Second-Order Guarantees in Federated Learning. ACSSC (2020)
Stefan Vlaski, Elsa Rizk, Ali H. Sayed
Tracking Performance of Online Stochastic Learners. IEEE Signal Process. Lett. 27 (2020)
Stefan Vlaski, Elsa Rizk, Ali H. Sayed
Second-Order Guarantees in Federated Learning. CoRR (2020)
Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Federated Learning under Importance Sampling. CoRR (2020)
Stefan Vlaski, Elsa Rizk, Ali H. Sayed
Tracking Performance of Online Stochastic Learners. CoRR (2020)
Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Dynamic Federated Learning. SPAWC (2020)
Elsa Rizk, Stefan Vlaski, Ali H. Sayed
Dynamic Federated Learning. CoRR (2020)
Elsa Rizk, Roula Nassif, Ali H. Sayed
Network Classifiers With Output Smoothing. CoRR (2019)