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Roula Nassif
Roula Nassif
Université Côte d'Azur, I3S Laboratory
Verified email at unice.fr - Homepage
Title
Cited by
Cited by
Year
Multitask learning over graphs: An approach for distributed, streaming machine learning
R Nassif, S Vlaski, C Richard, J Chen, AH Sayed
IEEE Signal Processing Magazine 37 (3), 14-25, 2020
972020
Multitask diffusion adaptation over asynchronous networks
R Nassif, C Richard, A Ferrari, AH Sayed
IEEE Transactions on Signal Processing 64 (11), 2835-2850, 2016
712016
Proximal multitask learning over networks with sparsity-inducing coregularization
R Nassif, C Richard, A Ferrari, AH Sayed
IEEE Transactions on Signal Processing 64 (23), 6329-6344, 2016
702016
Diffusion LMS for multitask problems with local linear equality constraints
R Nassif, C Richard, A Ferrari, AH Sayed
IEEE Transactions on Signal Processing 65 (19), 4979-4993, 2017
662017
Distributed diffusion adaptation over graph signals
R Nassif, C Richard, J Chen, AH Sayed
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
562018
Online distributed learning over graphs with multitask graph-filter models
F Hua, R Nassif, C Richard, H Wang, AH Sayed
IEEE Transactions on Signal and Information Processing over Networks 6, 63-77, 2020
392020
Online graph learning from sequential data
S Vlaski, HP Maretić, R Nassif, P Frossard, AH Sayed
2018 IEEE Data Science Workshop (DSW), 190-194, 2018
362018
Diffusion LMS over multitask networks with noisy links
R Nassif, C Richard, J Chen, A Ferrari, AH Sayed
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
352016
Diffusion LMS with communication delays: Stability and performance analysis
F Hua, R Nassif, C Richard, H Wang, AH Sayed
IEEE Signal Processing Letters 27, 730-734, 2020
312020
Learning over Multitask Graphs-Part I: Stability Analysis
R Nassif, S Vlaski, C Richard, AH Sayed
IEEE Open Journal of Signal Processing, 2020
302020
Adaptation and Learning Over Networks Under Subspace Constraints—Part I: Stability Analysis
R Nassif, S Vlaski, AH Sayed
IEEE Transactions on Signal Processing 68, 1346-1360, 2020
292020
A graph diffusion LMS strategy for adaptive graph signal processing
R Nassif, C Richard, J Chen, AH Sayed
2017 51st Asilomar Conference on Signals, Systems, and Computers, 1973-1976, 2017
272017
Multitask diffusion LMS with sparsity-based regularization
R Nassif, C Richard, A Ferrari, AH Sayed
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
272015
A preconditioned graph diffusion LMS for adaptive graph signal processing
F Hua, R Nassif, C Richard, H Wang, AH Sayed
2018 26th European Signal Processing Conference (EUSIPCO), 111-115, 2018
242018
A regularization framework for learning over multitask graphs
R Nassif, S Vlaski, C Richard, AH Sayed
IEEE Signal Processing Letters 26 (2), 297-301, 2018
202018
Quantization for Decentralized Learning Under Subspace Constraints
R Nassif, S Vlaski, M Carpentiero, V Matta, M Antonini, AH Sayed
IEEE Transactions on Signal Processing 71, 2320-2335, 2023
192023
Adaptation and learning over networks under subspace constraints—Part II: Performance analysis
R Nassif, S Vlaski, AH Sayed
IEEE Transactions on Signal Processing 68, 2948-2962, 2020
182020
Distributed inference over networks under subspace constraints
R Nassif, S Vlaski, AH Sayed
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
132019
Learning over Multitask Graphs-Part II: Performance Analysis
R Nassif, S Vlaski, C Richard, AH Sayed
IEEE Open Journal of Signal Processing, 2020
122020
Penalty-based multitask estimation with non-local linear equality constraints
F Hua, R Nassif, C Richard, H Wang
2017 IEEE 7th International Workshop on Computational Advances in Multi …, 2017
92017
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