Roula Nassif

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 42

Top Topics

Regularization Framework

Equality Constraints

Multitask Learning

Signal Processing

Top Venues

IEEE Trans. Signal Process.

Publications

Roula Nassif, Soummya Kar, Stefan Vlaski
Learning Dynamics of Low-Precision Clipped SGD with Momentum. ICASSP (2024)
Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
Differential error feedback for communication-efficient decentralized learning. CoRR (2024)
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 (2023)
Xuandi Sun, Roula Nassif, Cédric Richard, Haiyan Wang
Anomaly Detection in Graph Signals with Canonical Correlation Analysis. CAMSAP (2023)
Shreya Wadehra, Roula Nassif, Stefan Vlaski
Exact Subspace Diffusion for Decentralized Multitask Learning. CDC (2023)
Shreya Wadehra, Roula Nassif, Stefan Vlaski
Exact Subspace Diffusion for Decentralized Multitask Learning. CoRR (2023)
Roula Nassif, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
Decentralized Learning in the Presence of Low-Rank Noise. ICASSP (2022)
Maha Issa, Roula Nassif, Elsa Rizk, Ali H. Sayed
Decentralized Semi-supervised Learning over Multitask Graphs. IEEECONF (2022)
Roula Nassif, Stefan Vlaski, Marc Antonini, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
Finite Bit Quantization for Decentralized Learning Under Subspace Constraints. EUSIPCO (2022)
Roula Nassif, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
Dencentralized learning in the presence of low-rank noise. CoRR (2022)
Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Marc Antonini, Ali H. Sayed
Quantization for decentralized learning under subspace constraints. CoRR (2022)
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 (2020)
Roula Nassif, Stefan Vlaski, Ali H. Sayed
Adaptation and Learning Over Networks Under Subspace Constraints - Part II: Performance Analysis. IEEE Trans. Signal Process. 68 (2020)
Roula Nassif, Stefan Vlaski, Cédric Richard, Jie Chen, Ali H. Sayed
Multitask learning over graphs. CoRR (2020)
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 (2020)
Roula Nassif, Stefan Vlaski, Ali H. Sayed
Adaptation and Learning Over Networks Under Subspace Constraints - Part I: Stability Analysis. IEEE Trans. Signal Process. 68 (2020)
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) (2020)
Roula Nassif, Stefan Vlaski, Ali H. Sayed
Adaptation and learning over networks under subspace constraints. CoRR (2019)
Roula Nassif, Stefan Vlaski, Ali H. Sayed
Distributed Learning over Networks under Subspace Constraints. ACSSC (2019)
Roula Nassif, Stefan Vlaski, Ali H. Sayed
Distributed Inference over Networks under Subspace Constraints. ICASSP (2019)
Elsa Rizk, Roula Nassif, Ali H. Sayed
Network Classifiers With Output Smoothing. CoRR (2019)
Roula Nassif, Stefan Vlaski, Ali H. Sayed
Adaptation and learning over networks under subspace constraints - Part II: Performance Analysis. CoRR (2019)
Roula Nassif, Stefan Vlaski, Cédric Richard, Ali H. Sayed
A Regularization Framework for Learning Over Multitask Graphs. IEEE Signal Process. Lett. 26 (2) (2019)
Mircea Moscu, Roula Nassif, Fei Hua, Cédric Richard
Learning Causal Networks Topology From Streaming Graph Signals. EUSIPCO (2019)
Roula Nassif, Cédric Richard, Jie Chen, Ali H. Sayed
Distributed Diffusion Adaptation Over Graph Signals. ICASSP (2018)
Roula Nassif, Stefan Vlaski, Ali H. Sayed
Learning over Multitask Graphs - Part II: Performance Analysis. CoRR (2018)
Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed
Decentralized clustering for node-variant graph filtering with graph diffusion LMS. ACSSC (2018)
Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed
A Preconditioned Graph Diffusion LMS for Adaptive Graph Signal Processing. EUSIPCO (2018)
Roula Nassif, Stefan Vlaski, Ali H. Sayed
Learning over Multitask Graphs - Part I: Stability Analysis. CoRR (2018)
Stefan Vlaski, Hermina Petric Maretic, Roula Nassif, Pascal Frossard, Ali H. Sayed
Online Graph Learning from Sequential Data. DSW (2018)
Roula Nassif, Stefan Vlaski, Ali H. Sayed
Distributed Inference Over Multitask Graphs Under Smoothness. SPAWC (2018)
Roula Nassif, Cédric Richard, Jie Chen, Ali H. Sayed
A graph diffusion LMS strategy for adaptive graph signal processing. ACSSC (2017)
Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Jianguo Huang
Penalty-based multitask distributed adaptation over networks with constraints. ACSSC (2017)
Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang
Penalty-Based multitask estimation with non-local linear equality constraints. CAMSAP (2017)
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) (2017)
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
Distributed learning over multitask networks with linearly related tasks. ACSSC (2016)
Roula Nassif, Cédric Richard, Jie Chen, André Ferrari, Ali H. Sayed
Diffusion LMS over multitask networks with noisy links. ICASSP (2016)
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
Diffusion LMS for Multitask Problems with Local Linear Equality Constraints. CoRR (2016)
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization. IEEE Trans. Signal Process. 64 (23) (2016)
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
Multitask Diffusion Adaptation Over Asynchronous Networks. IEEE Trans. Signal Process. 64 (11) (2016)
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
Proximal Multitask Learning over Networks with Sparsity-inducing Coregularization. CoRR (2015)
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
Multitask diffusion LMS with sparsity-based regularization. ICASSP (2015)
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
Multitask diffusion adaptation over asynchronous networks. CoRR (2014)
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
Performance analysis of multitask diffusion adaptation over asynchronous networks. ACSSC (2014)