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2020 – today
- 2024
[c24]Stefan Vlaski, Roula Nassif:
Nonconvex Multitask Learning Over Networks. EUSIPCO 2024: 992-996- [c23]Roula Nassif, Soummya Kar
, Stefan Vlaski:
Learning Dynamics of Low-Precision Clipped SGD with Momentum. ICASSP 2024: 6075-6079 - [c22]Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed:
Differential Error Feedback for Communication-Efficient Decentralized Optimization. SAM 2024: 1-5 - [c21]Roula Nassif, Marco Carpentiero, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed:
Matching centralized learning performance via compressed decentralized learning with error feedback. SPAWC 2024: 431-435 - [i13]Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed:
Differential error feedback for communication-efficient decentralized learning. CoRR abs/2406.18418 (2024) - 2023
- [j10]Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Marc Antonini, Ali H. Sayed:
Quantization for Decentralized Learning Under Subspace Constraints. IEEE Trans. Signal Process. 71: 2320-2335 (2023) - [c20]Xuandi Sun, Roula Nassif, Cédric Richard, Haiyan Wang:
Anomaly Detection in Graph Signals with Canonical Correlation Analysis. CAMSAP 2023: 376-380 - [c19]Shreya Wadehra, Roula Nassif, Stefan Vlaski:
Exact Subspace Diffusion for Decentralized Multitask Learning. CDC 2023: 6172-6179 - [i12]Shreya Wadehra, Roula Nassif, Stefan Vlaski:
Exact Subspace Diffusion for Decentralized Multitask Learning. CoRR abs/2304.07358 (2023) - 2022
- [c18]Maha Issa, Roula Nassif, Elsa Rizk, Ali H. Sayed:
Decentralized Semi-supervised Learning over Multitask Graphs. IEEECONF 2022: 419-425 - [c17]Roula Nassif, Stefan Vlaski, Marc Antonini, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed:
Finite Bit Quantization for Decentralized Learning Under Subspace Constraints. EUSIPCO 2022: 1851-1855 - [c16]Roula Nassif, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed:
Decentralized Learning in the Presence of Low-Rank Noise. ICASSP 2022: 5667-5671 - [i11]Roula Nassif, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed:
Dencentralized learning in the presence of low-rank noise. CoRR abs/2203.09810 (2022) - [i10]Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Marc Antonini, Ali H. Sayed:
Quantization for decentralized learning under subspace constraints. CoRR abs/2209.07821 (2022) - 2020
- [j9]Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed:
Diffusion LMS With Communication Delays: Stability and Performance Analysis. IEEE Signal Process. Lett. 27: 730-734 (2020) - [j8]Roula Nassif, Stefan Vlaski, Cédric Richard, Jie Chen, Ali H. Sayed:
Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning. IEEE Signal Process. Mag. 37(3): 14-25 (2020) - [j7]Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed:
Online Distributed Learning Over Graphs With Multitask Graph-Filter Models. IEEE Trans. Signal Inf. Process. over Networks 6: 63-77 (2020) - [j6]Roula Nassif, Stefan Vlaski, Ali H. Sayed:
Adaptation and Learning Over Networks Under Subspace Constraints - Part I: Stability Analysis. IEEE Trans. Signal Process. 68: 1346-1360 (2020) - [j5]Roula Nassif, Stefan Vlaski, Ali H. Sayed:
Adaptation and Learning Over Networks Under Subspace Constraints - Part II: Performance Analysis. IEEE Trans. Signal Process. 68: 2948-2962 (2020) - [i9]Roula Nassif, Stefan Vlaski, Cédric Richard, Jie Chen, Ali H. Sayed:
Multitask learning over graphs. CoRR abs/2001.02112 (2020)
2010 – 2019
- 2019
- [j4]Roula Nassif, Stefan Vlaski, Cédric Richard, Ali H. Sayed:
A Regularization Framework for Learning Over Multitask Graphs. IEEE Signal Process. Lett. 26(2): 297-301 (2019) - [c15]Roula Nassif, Stefan Vlaski, Ali H. Sayed:
Distributed Learning over Networks under Subspace Constraints. ACSSC 2019: 194-198 - [c14]Mircea Moscu, Roula Nassif, Fei Hua, Cédric Richard:
Learning Causal Networks Topology From Streaming Graph Signals. EUSIPCO 2019: 1-5 - [c13]Roula Nassif, Stefan Vlaski, Ali H. Sayed:
Distributed Inference over Networks under Subspace Constraints. ICASSP 2019: 5232-5236 - [i8]Roula Nassif, Stefan Vlaski, Ali H. Sayed:
Adaptation and learning over networks under subspace constraints. CoRR abs/1905.08750 (2019) - [i7]Roula Nassif, Stefan Vlaski, Ali H. Sayed:
Adaptation and learning over networks under subspace constraints - Part II: Performance Analysis. CoRR abs/1906.12250 (2019) - [i6]Elsa Rizk, Roula Nassif, Ali H. Sayed:
Network Classifiers With Output Smoothing. CoRR abs/1911.04870 (2019) - 2018
- [c12]Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed:
Decentralized clustering for node-variant graph filtering with graph diffusion LMS. ACSSC 2018: 1418-1422 - [c11]Stefan Vlaski, Hermina Petric Maretic, Roula Nassif, Pascal Frossard, Ali H. Sayed:
Online Graph Learning from Sequential Data. DSW 2018: 190-194 - [c10]Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed:
A Preconditioned Graph Diffusion LMS for Adaptive Graph Signal Processing. EUSIPCO 2018: 111-115 - [c9]Roula Nassif, Cédric Richard, Jie Chen, Ali H. Sayed:
Distributed Diffusion Adaptation Over Graph Signals. ICASSP 2018: 4129-4133 - [c8]Roula Nassif, Stefan Vlaski, Ali H. Sayed:
Distributed Inference Over Multitask Graphs Under Smoothness. SPAWC 2018: 1-5 - [i5]Roula Nassif, Stefan Vlaski, Ali H. Sayed:
Learning over Multitask Graphs - Part I: Stability Analysis. CoRR abs/1805.08535 (2018) - [i4]Roula Nassif, Stefan Vlaski, Ali H. Sayed:
Learning over Multitask Graphs - Part II: Performance Analysis. CoRR abs/1805.08547 (2018) - 2017
- [j3]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Diffusion LMS for Multitask Problems With Local Linear Equality Constraints. IEEE Trans. Signal Process. 65(19): 4979-4993 (2017) - [c7]Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Jianguo Huang:
Penalty-based multitask distributed adaptation over networks with constraints. ACSSC 2017: 908-912 - [c6]Roula Nassif, Cédric Richard, Jie Chen, Ali H. Sayed:
A graph diffusion LMS strategy for adaptive graph signal processing. ACSSC 2017: 1973-1976 - [c5]Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang:
Penalty-Based multitask estimation with non-local linear equality constraints. CAMSAP 2017: 1-5 - 2016
- [j2]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Multitask Diffusion Adaptation Over Asynchronous Networks. IEEE Trans. Signal Process. 64(11): 2835-2850 (2016) - [j1]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization. IEEE Trans. Signal Process. 64(23): 6329-6344 (2016) - [c4]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Distributed learning over multitask networks with linearly related tasks. ACSSC 2016: 1390-1394 - [c3]Roula Nassif, Cédric Richard, Jie Chen, André Ferrari, Ali H. Sayed:
Diffusion LMS over multitask networks with noisy links. ICASSP 2016: 4583-4587 - [i3]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Diffusion LMS for Multitask Problems with Local Linear Equality Constraints. CoRR abs/1610.02943 (2016) - 2015
- [c2]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Multitask diffusion LMS with sparsity-based regularization. ICASSP 2015: 3516-3520 - [i2]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Proximal Multitask Learning over Networks with Sparsity-inducing Coregularization. CoRR abs/1509.01360 (2015) - 2014
- [c1]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Performance analysis of multitask diffusion adaptation over asynchronous networks. ACSSC 2014: 788-792 - [i1]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Multitask diffusion adaptation over asynchronous networks. CoRR abs/1412.1798 (2014)
Coauthor Index
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