Roula Nassif

According to our database, Roula Nassif authored at least 36 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Quantization for Decentralized Learning Under Subspace Constraints.

Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Marc Antonini, Ali H. Sayed

IEEE Trans. Signal Process., 2023

Exact Subspace Diffusion for Decentralized Multitask Learning.

Shreya Wadehra, Roula Nassif, Stefan Vlaski

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Anomaly Detection in Graph Signals with Canonical Correlation Analysis.

Xuandi Sun, Roula Nassif, Cédric Richard, Haiyan Wang

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022

Dencentralized learning in the presence of low-rank noise.

Roula Nassif, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed

CoRR, 2022

Decentralized Learning in the Presence of Low-Rank Noise.

Roula Nassif, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed

Proceedings of the IEEE International Conference on Acoustics, 2022

Finite Bit Quantization for Decentralized Learning Under Subspace Constraints.

Roula Nassif, Stefan Vlaski, Marc Antonini, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed

Proceedings of the 30th European Signal Processing Conference, 2022

Decentralized Semi-supervised Learning over Multitask Graphs.

Maha Issa, Roula Nassif, Elsa Rizk, Ali H. Sayed

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

2020

Adaptation and Learning Over Networks Under Subspace Constraints - Part II: Performance Analysis.

Roula Nassif, Stefan Vlaski, Ali H. Sayed

IEEE Trans. Signal Process., 2020

Adaptation and Learning Over Networks Under Subspace Constraints - Part I: Stability Analysis.

Roula Nassif, Stefan Vlaski, Ali H. Sayed

IEEE Trans. Signal Process., 2020

Online Distributed Learning Over Graphs With Multitask Graph-Filter Models.

Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed

IEEE Trans. Signal Inf. Process. over Networks, 2020

Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning.

Roula Nassif, Stefan Vlaski, Cédric Richard, Jie Chen, Ali H. Sayed

IEEE Signal Process. Mag., 2020

Diffusion LMS With Communication Delays: Stability and Performance Analysis.

Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed

IEEE Signal Process. Lett., 2020

Multitask learning over graphs.

Roula Nassif, Stefan Vlaski, Cédric Richard, Jie Chen, Ali H. Sayed

CoRR, 2020

2019

A Regularization Framework for Learning Over Multitask Graphs.

Roula Nassif, Stefan Vlaski, Cédric Richard, Ali H. Sayed

IEEE Signal Process. Lett., 2019

Network Classifiers With Output Smoothing.

Elsa Rizk, Roula Nassif, Ali H. Sayed

CoRR, 2019

Adaptation and learning over networks under subspace constraints.

Roula Nassif, Stefan Vlaski, Ali H. Sayed

CoRR, 2019

Distributed Inference over Networks under Subspace Constraints.

Roula Nassif, Stefan Vlaski, Ali H. Sayed

Proceedings of the IEEE International Conference on Acoustics, 2019

Learning Causal Networks Topology From Streaming Graph Signals.

Mircea Moscu, Roula Nassif, Fei Hua, Cédric Richard

Proceedings of the 27th European Signal Processing Conference, 2019

Distributed Learning over Networks under Subspace Constraints.

Roula Nassif, Stefan Vlaski, Ali H. Sayed

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Learning over Multitask Graphs - Part II: Performance Analysis.

Roula Nassif, Stefan Vlaski, Ali H. Sayed

CoRR, 2018

Learning over Multitask Graphs - Part I: Stability Analysis.

Roula Nassif, Stefan Vlaski, Ali H. Sayed

CoRR, 2018

Distributed Inference Over Multitask Graphs Under Smoothness.

Roula Nassif, Stefan Vlaski, Ali H. Sayed

Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Distributed Diffusion Adaptation Over Graph Signals.

Roula Nassif, Cédric Richard, Jie Chen, Ali H. Sayed

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Preconditioned Graph Diffusion LMS for Adaptive Graph Signal Processing.

Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed

Proceedings of the 26th European Signal Processing Conference, 2018

Online Graph Learning from Sequential Data.

Stefan Vlaski, Hermina Petric Maretic, Roula Nassif, Pascal Frossard, Ali H. Sayed

Proceedings of the 2018 IEEE Data Science Workshop, 2018

Decentralized clustering for node-variant graph filtering with graph diffusion LMS.

Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed

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

2017

Diffusion LMS for Multitask Problems With Local Linear Equality Constraints.

Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed

IEEE Trans. Signal Process., 2017

Penalty-Based multitask estimation with non-local linear equality constraints.

Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

A graph diffusion LMS strategy for adaptive graph signal processing.

Roula Nassif, Cédric Richard, Jie Chen, Ali H. Sayed

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

Penalty-based multitask distributed adaptation over networks with constraints.

Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Jianguo Huang

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization.

Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed

IEEE Trans. Signal Process., 2016

Multitask Diffusion Adaptation Over Asynchronous Networks.

Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed

IEEE Trans. Signal Process., 2016

Diffusion LMS over multitask networks with noisy links.

Roula Nassif, Cédric Richard, Jie Chen, André Ferrari, Ali H. Sayed

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Distributed learning over multitask networks with linearly related tasks.

Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Multitask diffusion LMS with sparsity-based regularization.

Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Performance analysis of multitask diffusion adaptation over asynchronous networks.

Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014