Performance analysis of multitask diffusion adaptation over asynchronous networks. - Roula Nassif; Cédric Richard; André Ferrari; Ali H. Sayed (ACSSC, 2014)

Multitask diffusion LMS with sparsity-based regularization. - Roula Nassif; Cédric Richard; André Ferrari; Ali H. Sayed (ICASSP, 2015)

Distributed learning over multitask networks with linearly related tasks. - Roula Nassif; Cédric Richard; André Ferrari; Ali H. Sayed (ACSSC, 2016)

Diffusion LMS over multitask networks with noisy links. - Roula Nassif; Cédric Richard; Jie Chen 022; André Ferrari; Ali H. Sayed (ICASSP, 2016)

Multitask Diffusion Adaptation Over Asynchronous Networks. - Roula Nassif; Cédric Richard; André Ferrari; Ali H. Sayed (IEEE Trans. Signal Process., 2016)

Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization. - Roula Nassif; Cédric Richard; André Ferrari; Ali H. Sayed (IEEE Trans. Signal Process., 2016)

Penalty-based multitask distributed adaptation over networks with constraints. - Fei Hua 001; Roula Nassif; Cédric Richard; Haiyan Wang 002; Jianguo Huang (ACSSC, 2017)

A graph diffusion LMS strategy for adaptive graph signal processing. - Roula Nassif; Cédric Richard; Jie Chen 022; Ali H. Sayed (ACSSC, 2017)

Penalty-Based multitask estimation with non-local linear equality constraints. - Fei Hua 001; Roula Nassif; Cédric Richard; Haiyan Wang 002 (CAMSAP, 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)

Decentralized clustering for node-variant graph filtering with graph diffusion LMS. - Fei Hua 001; Roula Nassif; Cédric Richard; Haiyan Wang 002; Ali H. Sayed (ACSSC, 2018)

Online Graph Learning from Sequential Data. - Stefan Vlaski; Hermina Petric Maretic; Roula Nassif; Pascal Frossard; Ali H. Sayed (DSW, 2018)

A Preconditioned Graph Diffusion LMS for Adaptive Graph Signal Processing. - Fei Hua 001; Roula Nassif; Cédric Richard; Haiyan Wang 002; Ali H. Sayed (EUSIPCO, 2018)

Distributed Diffusion Adaptation Over Graph Signals. - Roula Nassif; Cédric Richard; Jie Chen 022; Ali H. Sayed (ICASSP, 2018)

Distributed Inference Over Multitask Graphs Under Smoothness. - Roula Nassif; Stefan Vlaski; Ali H. Sayed (SPAWC, 2018)

Learning over Multitask Graphs - Part I: Stability Analysis. - Roula Nassif; Stefan Vlaski; Ali H. Sayed (CoRR, 2018)

Learning over Multitask Graphs - Part II: Performance Analysis. - Roula Nassif; Stefan Vlaski; Ali H. Sayed (CoRR, 2018)

Distributed Learning over Networks under Subspace Constraints. - Roula Nassif; Stefan Vlaski; Ali H. Sayed (ACSSC, 2019)

Learning Causal Networks Topology From Streaming Graph Signals. - Mircea Moscu; Roula Nassif; Fei Hua 001; Cédric Richard (EUSIPCO, 2019)

Distributed Inference over Networks under Subspace Constraints. - Roula Nassif; Stefan Vlaski; Ali H. Sayed (ICASSP, 2019)

Adaptation and learning over networks under subspace constraints. - Roula Nassif; Stefan Vlaski; Ali H. Sayed (CoRR, 2019)

Network Classifiers With Output Smoothing. - Elsa Rizk; Roula Nassif; Ali H. Sayed (CoRR, 2019)

A Regularization Framework for Learning Over Multitask Graphs. - Roula Nassif; Stefan Vlaski; Cédric Richard; Ali H. Sayed (IEEE Signal Process. Lett., 2019)

Multitask learning over graphs. - Roula Nassif; Stefan Vlaski; Cédric Richard; Jie Chen 022; Ali H. Sayed (CoRR, 2020)

Diffusion LMS With Communication Delays: Stability and Performance Analysis. - Fei Hua 001; Roula Nassif; Cédric Richard; Haiyan Wang 002; Ali H. Sayed (IEEE Signal Process. Lett., 2020)

Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning. - Roula Nassif; Stefan Vlaski; Cédric Richard; Jie Chen 022; Ali H. Sayed (IEEE Signal Process. Mag., 2020)

Online Distributed Learning Over Graphs With Multitask Graph-Filter Models. - Fei Hua 001; Roula Nassif; Cédric Richard; Haiyan Wang 002; Ali H. Sayed (IEEE Trans. Signal Inf. Process. over Networks, 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)

Adaptation and Learning Over Networks Under Subspace Constraints - Part II: Performance Analysis. - Roula Nassif; Stefan Vlaski; Ali H. Sayed (IEEE Trans. Signal Process., 2020)

Decentralized Semi-supervised Learning over Multitask Graphs. - Maha Issa; Roula Nassif; Elsa Rizk; Ali H. Sayed (IEEECONF, 2022)

Finite Bit Quantization for Decentralized Learning Under Subspace Constraints. - Roula Nassif; Stefan Vlaski; Marc Antonini; Marco Carpentiero; Vincenzo Matta; Ali H. Sayed (EUSIPCO, 2022)

Decentralized Learning in the Presence of Low-Rank Noise. - Roula Nassif; Virginia Bordignon; Stefan Vlaski; Ali H. Sayed (ICASSP, 2022)

Dencentralized learning in the presence of low-rank noise. - Roula Nassif; Virginia Bordignon; Stefan Vlaski; Ali H. Sayed (CoRR, 2022)

Anomaly Detection in Graph Signals with Canonical Correlation Analysis. - Xuandi Sun; Roula Nassif; Cédric Richard; Haiyan Wang 002 (CAMSAP, 2023)

Exact Subspace Diffusion for Decentralized Multitask Learning. - Shreya Wadehra; Roula Nassif; Stefan Vlaski (CDC, 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)

Proximally Regularized Multitask Learning over Networks. - Stefan Vlaski; Roula Nassif (IEEECONF, 2024)

Nonconvex Multitask Learning Over Networks. - Stefan Vlaski; Roula Nassif (EUSIPCO, 2024)

Learning Dynamics of Low-Precision Clipped SGD with Momentum. - Roula Nassif; Soummya Kar; Stefan Vlaski (ICASSP, 2024)

Differential Error Feedback for Communication-Efficient Decentralized Optimization. - Roula Nassif; Stefan Vlaski; Marco Carpentiero; Vincenzo Matta; Ali H. Sayed (SAM, 2024)

Matching centralized learning performance via compressed decentralized learning with error feedback. - Roula Nassif; Marco Carpentiero; Stefan Vlaski; Vincenzo Matta; Ali H. Sayed (SPAWC, 2024)

Communication-efficient Exact Diffusion for Decentralized Learning. - Gustavo Faia; Stefan Vlaski; Roula Nassif (ICASSP, 2025)

Sparsity-based regularization for learning over multitask graphs. - Yara Zgheib; Marc Antonini; Roula Nassif (SSP, 2025)

Differential Error Feedback for Communication-Efficient Decentralized Learning. - Roula Nassif; Stefan Vlaski; Marco Carpentiero; Vincenzo Matta; Ali H. Sayed (IEEE Trans. Signal Process., 2025)

Noise-Assisted Graph Multivariate Empirical Mode Decomposition With Non-Uniform Projections. - Xuandi Sun; Roula Nassif; Cédric Richard; Haiyan Wang 002 (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)

Anomaly Detection in Graph Signals With Complex Wavelet Packet Correlation Mining. - Xuandi Sun; Roula Nassif; Cédric Richard; Ziye Yang; Jie Chen 022; Haiyan Wang 002 (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)

A non-smooth regularization framework for learning over multitask graphs. - Yara Zgheib; Luca Calatroni; Marc Antonini; Roula Nassif (CoRR, 2025)