Roula Nassif - RankMe

56 papers Misc 13Journal 27Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A hypergraph-based Lasso regularization for distributed learning. IEEECONF Gustavo Faia Fagundes, Cédric Richard, Roula Nassif
2025	J	`jnl`	A non-smooth regularization framework for learning over multitask graphs. CoRR Yara Zgheib, Luca Calatroni, Marc Antonini, Roula Nassif
2025	J	`jnl`	Anomaly Detection in Graph Signals With Complex Wavelet Packet Correlation Mining. IEEE Trans. Circuits Syst. I Regul. Pap. Xuandi Sun, Roula Nassif, Cédric Richard, Ziye Yang, Jie Chen, Haiyan Wang
2025	Misc	`conf`	Communication-efficient Exact Diffusion for Decentralized Learning. ICASSP Gustavo Faia, Stefan Vlaski, Roula Nassif
2025	—	`conf`	Decentralized continual learning: A Multi-objective Minimization technique. IEEECONF Yara Zgheib, Gustavo Faia Fagundes, Marc Antonini, Roula Nassif
2025	J	`jnl`	Differential Error Feedback for Communication-Efficient Decentralized Learning. IEEE Trans. Signal Process. Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
2025	J	`jnl`	Noise-Assisted Graph Multivariate Empirical Mode Decomposition With Non-Uniform Projections. IEEE Trans. Circuits Syst. I Regul. Pap. Xuandi Sun, Roula Nassif, Cédric Richard, Haiyan Wang
2025	—	`conf`	Sparsity-based regularization for learning over multitask graphs. SSP Yara Zgheib, Marc Antonini, Roula Nassif
2024	—	`conf`	Differential Error Feedback for Communication-Efficient Decentralized Optimization. SAM Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
2024	J	`jnl`	Differential error feedback for communication-efficient decentralized learning. CoRR Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
2024	Misc	`conf`	Learning Dynamics of Low-Precision Clipped SGD with Momentum. ICASSP Roula Nassif, Soummya Kar, Stefan Vlaski
2024	—	`conf`	Matching centralized learning performance via compressed decentralized learning with error feedback. SPAWC Roula Nassif, Marco Carpentiero, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed
2024	—	`conf`	Nonconvex Multitask Learning Over Networks. EUSIPCO Stefan Vlaski, Roula Nassif
2024	—	`conf`	Proximally Regularized Multitask Learning over Networks. IEEECONF Stefan Vlaski, Roula Nassif
2023	—	`conf`	Anomaly Detection in Graph Signals with Canonical Correlation Analysis. CAMSAP Xuandi Sun, Roula Nassif, Cédric Richard, Haiyan Wang
2023	—	`conf`	Exact Subspace Diffusion for Decentralized Multitask Learning. CDC Shreya Wadehra, Roula Nassif, Stefan Vlaski
2023	J	`jnl`	Exact Subspace Diffusion for Decentralized Multitask Learning. CoRR Shreya Wadehra, Roula Nassif, Stefan Vlaski
2023	J	`jnl`	Quantization for Decentralized Learning Under Subspace Constraints. IEEE Trans. Signal Process. Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Marc Antonini, Ali H. Sayed
2022	Misc	`conf`	Decentralized Learning in the Presence of Low-Rank Noise. ICASSP Roula Nassif, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2022	—	`conf`	Decentralized Semi-supervised Learning over Multitask Graphs. IEEECONF Maha Issa, Roula Nassif, Elsa Rizk, Ali H. Sayed
2022	J	`jnl`	Dencentralized learning in the presence of low-rank noise. CoRR Roula Nassif, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed
2022	—	`conf`	Finite Bit Quantization for Decentralized Learning Under Subspace Constraints. EUSIPCO Roula Nassif, Stefan Vlaski, Marc Antonini, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
2022	J	`jnl`	Quantization for decentralized learning under subspace constraints. CoRR Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Marc Antonini, Ali H. Sayed
2020	J	`jnl`	Adaptation and Learning Over Networks Under Subspace Constraints - Part I: Stability Analysis. IEEE Trans. Signal Process. Roula Nassif, Stefan Vlaski, Ali H. Sayed
2020	J	`jnl`	Adaptation and Learning Over Networks Under Subspace Constraints - Part II: Performance Analysis. IEEE Trans. Signal Process. Roula Nassif, Stefan Vlaski, Ali H. Sayed
2020	J	`jnl`	Diffusion LMS With Communication Delays: Stability and Performance Analysis. IEEE Signal Process. Lett. Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed
2020	J	`jnl`	Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning. IEEE Signal Process. Mag. Roula Nassif, Stefan Vlaski, Cédric Richard, Jie Chen, Ali H. Sayed
2020	J	`jnl`	Multitask learning over graphs. CoRR Roula Nassif, Stefan Vlaski, Cédric Richard, Jie Chen, Ali H. Sayed
2020	J	`jnl`	Online Distributed Learning Over Graphs With Multitask Graph-Filter Models. IEEE Trans. Signal Inf. Process. over Networks Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed
2019	J	`jnl`	A Regularization Framework for Learning Over Multitask Graphs. IEEE Signal Process. Lett. Roula Nassif, Stefan Vlaski, Cédric Richard, Ali H. Sayed
2019	J	`jnl`	Adaptation and learning over networks under subspace constraints - Part II: Performance Analysis. CoRR Roula Nassif, Stefan Vlaski, Ali H. Sayed
2019	J	`jnl`	Adaptation and learning over networks under subspace constraints. CoRR Roula Nassif, Stefan Vlaski, Ali H. Sayed
2019	Misc	`conf`	Distributed Inference over Networks under Subspace Constraints. ICASSP Roula Nassif, Stefan Vlaski, Ali H. Sayed
2019	Misc	`conf`	Distributed Learning over Networks under Subspace Constraints. ACSSC Roula Nassif, Stefan Vlaski, Ali H. Sayed
2019	—	`conf`	Learning Causal Networks Topology From Streaming Graph Signals. EUSIPCO Mircea Moscu, Roula Nassif, Fei Hua, Cédric Richard
2019	J	`jnl`	Network Classifiers With Output Smoothing. CoRR Elsa Rizk, Roula Nassif, Ali H. Sayed
2018	—	`conf`	A Preconditioned Graph Diffusion LMS for Adaptive Graph Signal Processing. EUSIPCO Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed
2018	Misc	`conf`	Decentralized clustering for node-variant graph filtering with graph diffusion LMS. ACSSC Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed
2018	Misc	`conf`	Distributed Diffusion Adaptation Over Graph Signals. ICASSP Roula Nassif, Cédric Richard, Jie Chen, Ali H. Sayed
2018	—	`conf`	Distributed Inference Over Multitask Graphs Under Smoothness. SPAWC Roula Nassif, Stefan Vlaski, Ali H. Sayed
2018	J	`jnl`	Learning over Multitask Graphs - Part I: Stability Analysis. CoRR Roula Nassif, Stefan Vlaski, Ali H. Sayed
2018	J	`jnl`	Learning over Multitask Graphs - Part II: Performance Analysis. CoRR Roula Nassif, Stefan Vlaski, Ali H. Sayed
2018	—	`conf`	Online Graph Learning from Sequential Data. DSW Stefan Vlaski, Hermina Petric Maretic, Roula Nassif, Pascal Frossard, Ali H. Sayed
2017	Misc	`conf`	A graph diffusion LMS strategy for adaptive graph signal processing. ACSSC Roula Nassif, Cédric Richard, Jie Chen, Ali H. Sayed
2017	J	`jnl`	Diffusion LMS for Multitask Problems With Local Linear Equality Constraints. IEEE Trans. Signal Process. Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2017	—	`conf`	Penalty-Based multitask estimation with non-local linear equality constraints. CAMSAP Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang
2017	Misc	`conf`	Penalty-based multitask distributed adaptation over networks with constraints. ACSSC Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Jianguo Huang
2016	J	`jnl`	Diffusion LMS for Multitask Problems with Local Linear Equality Constraints. CoRR Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2016	Misc	`conf`	Diffusion LMS over multitask networks with noisy links. ICASSP Roula Nassif, Cédric Richard, Jie Chen, André Ferrari, Ali H. Sayed
2016	Misc	`conf`	Distributed learning over multitask networks with linearly related tasks. ACSSC Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2016	J	`jnl`	Multitask Diffusion Adaptation Over Asynchronous Networks. IEEE Trans. Signal Process. Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2016	J	`jnl`	Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization. IEEE Trans. Signal Process. Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2015	Misc	`conf`	Multitask diffusion LMS with sparsity-based regularization. ICASSP Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2015	J	`jnl`	Proximal Multitask Learning over Networks with Sparsity-inducing Coregularization. CoRR Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2014	J	`jnl`	Multitask diffusion adaptation over asynchronous networks. CoRR Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2014	Misc	`conf`	Performance analysis of multitask diffusion adaptation over asynchronous networks. ACSSC Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed