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Multitask learning over graphs: An Approach for Distributed, Streaming Machine Learning
IEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2020
7 January 2020
Roula Nassif
Stefan Vlaski
C. Richard
Jie Chen
Ali H. Sayed
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Papers citing
"Multitask learning over graphs: An Approach for Distributed, Streaming Machine Learning"
28 / 28 papers shown
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Distributed Associative Memory via Online Convex Optimization
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131
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26 Sep 2025
A non-smooth regularization framework for learning over multitask graphs
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Luca Calatroni
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Roula Nassif
265
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22 Sep 2025
Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs
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Weihang Liu
Xin Lou
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Tareq Al-Naffouri
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02 Jun 2025
Joint estimation of smooth graph signals from partial linear measurements
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29 May 2025
Differential error feedback for communication-efficient decentralized learning
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Stefan Vlaski
Marco Carpentiero
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Ali H. Sayed
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26 Jun 2024
Distributed Speech Dereverberation Using Weighted Prediction Error
Signal Processing (Signal Process.), 2023
Ziye Yang
Mengfei Zhang
Jie Chen
150
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05 Dec 2023
Distributed Continual Learning with CoCoA in High-dimensional Linear Regression
IEEE Transactions on Signal Processing (IEEE TSP), 2023
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Ayça Özçelikkale
Anders Ahlén
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316
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04 Dec 2023
Heuristic Vision Pre-Training with Self-Supervised and Supervised Multi-Task Learning
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302
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11 Oct 2023
Exact Subspace Diffusion for Decentralized Multitask Learning
IEEE Conference on Decision and Control (CDC), 2023
Shreya Wadehra
Roula Nassif
Stefan Vlaski
241
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14 Apr 2023
Enforcing Privacy in Distributed Learning with Performance Guarantees
IEEE Transactions on Signal Processing (IEEE TSP), 2023
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
FedML
259
17
0
16 Jan 2023
On the Energy and Communication Efficiency Tradeoffs in Federated and Multi-Task Learning
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2022
S. Savazzi
V. Rampa
Sanaz Kianoush
M. Bennis
238
1
0
02 Dec 2022
Networked Signal and Information Processing
IEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2022
Stefan Vlaski
S. Kar
Ali H. Sayed
José M. F. Moura
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25 Oct 2022
Association Graph Learning for Multi-Task Classification with Category Shifts
Neural Information Processing Systems (NeurIPS), 2022
Jiayi Shen
Zehao Xiao
Xiantong Zhen
Cees G. M. Snoek
Marcel Worring
OOD
336
10
0
10 Oct 2022
Quantization for decentralized learning under subspace constraints
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Roula Nassif
Stefan Vlaski
Marco Carpentiero
Vincenzo Matta
Marc Antonini
Ali H. Sayed
317
36
0
16 Sep 2022
A Distributed Diffusion Kalman Filter In Multitask Networks
International journal of advanced networking and applications (IJANA), 2022
I. A. Chikwendu
Kulevome Delanyo Kwame Bensah
C. Ukwuoma
C. Ejiyi
232
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0
07 Jul 2022
Design and Analysis of Robust Resilient Diffusion over Multi-Task Networks Against Byzantine Attacks
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R. D. Lamare
Yi Yu
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262
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25 Jun 2022
Collaborative likelihood-ratio estimation over graphs
Alejandro de la Concha
Nicolas Vayatis
Argyris Kalogeratos
337
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0
28 May 2022
Dencentralized learning in the presence of low-rank noise
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Roula Nassif
Virginia Bordignon
Stefan Vlaski
Ali H. Sayed
211
0
0
18 Mar 2022
Self-aware Social Learning over Graphs
K. Ntemos
Virginia Bordignon
Stefan Vlaski
Ali H. Sayed
FedML
202
5
0
25 Oct 2021
Clustered Federated Learning via Generalized Total Variation Minimization
IEEE Transactions on Signal Processing (IEEE TSP), 2021
Yasmin SarcheshmehPour
Yu Tian
Linli Zhang
A. Jung
FedML
325
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26 May 2021
Competing Adaptive Networks
Symposium on Software Performance (SP), 2021
Stefan Vlaski
Ali H. Sayed
355
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0
29 Mar 2021
Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems
IEEE Communications Magazine (ComMag), 2021
S. Savazzi
M. Nicoli
M. Bennis
Sanaz Kianoush
Luca Barbieri
FedML
AIFin
AI4CE
370
155
0
09 Jan 2021
Second-Order Guarantees in Federated Learning
Asilomar Conference on Signals, Systems and Computers (Asilomar), 2020
Stefan Vlaski
Elsa Rizk
Ali H. Sayed
FedML
187
7
0
02 Dec 2020
Byzantine Resilient Distributed Multi-Task Learning
Neural Information Processing Systems (NeurIPS), 2020
Jiani Li
W. Abbas
X. Koutsoukos
236
9
0
25 Oct 2020
Graph signal processing for machine learning: A review and new perspectives
IEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2020
Xiaowen Dong
D. Thanou
Laura Toni
M. Bronstein
P. Frossard
291
204
0
31 Jul 2020
Tracking Performance of Online Stochastic Learners
IEEE Signal Processing Letters (IEEE SPL), 2020
Stefan Vlaski
Elsa Rizk
Ali H. Sayed
162
3
0
04 Apr 2020
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