Roula Nassif

Soummya Kar

Proceedings of the IEEE International Conference on Acoustics, 2024

Nonconvex Multitask Learning Over Networks.

[BibT_eX]

[DOI]

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Quantization for Decentralized Learning Under Subspace Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

Exact Subspace Diffusion for Decentralized Multitask Learning.

[BibT_eX]

[DOI]

Shreya Wadehra

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

Anomaly Detection in Graph Signals with Canonical Correlation Analysis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2022

Decentralized Learning in the Presence of Low-Rank Noise.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Finite Bit Quantization for Decentralized Learning Under Subspace Constraints.

[BibT_eX]

[DOI]

Proceedings of the 30th European Signal Processing Conference, 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

2020

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

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

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

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2020

Diffusion LMS With Communication Delays: Stability and Performance Analysis.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2020

Multitask learning over graphs.

[BibT_eX]

[DOI]

CoRR, 2020

2019

A Regularization Framework for Learning Over Multitask Graphs.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2019

Network Classifiers With Output Smoothing.

[BibT_eX]

[DOI]

Elsa Rizk

CoRR, 2019

Adaptation and learning over networks under subspace constraints.

[BibT_eX]

[DOI]

CoRR, 2019

Distributed Inference over Networks under Subspace Constraints.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Learning Causal Networks Topology From Streaming Graph Signals.

[BibT_eX]

[DOI]

Proceedings of the 27th European Signal Processing Conference, 2019

Distributed Learning over Networks under Subspace Constraints.

[BibT_eX]

[DOI]

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

2018

Learning over Multitask Graphs - Part II: Performance Analysis.

[BibT_eX]

[DOI]

CoRR, 2018

Learning over Multitask Graphs - Part I: Stability Analysis.

[BibT_eX]

[DOI]

CoRR, 2018

Distributed Inference Over Multitask Graphs Under Smoothness.

[BibT_eX]

[DOI]

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

Distributed Diffusion Adaptation Over Graph Signals.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Preconditioned Graph Diffusion LMS for Adaptive Graph Signal Processing.

[BibT_eX]

[DOI]

Proceedings of the 26th European Signal Processing Conference, 2018

Online Graph Learning from Sequential Data.

[BibT_eX]

[DOI]

Hermina Petric Maretic

Pascal Frossard