Multitask learning over graphs: An Approach for Distributed, Streaming
Machine Learning

Multitask learning over graphs: An Approach for Distributed, Streaming Machine Learning

7 January 2020

Jie Chen

Papers citing "Multitask learning over graphs: An Approach for Distributed, Streaming Machine Learning"

9 / 9 papers shown

Title
Enforcing Privacy in Distributed Learning with Performance Guarantees Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 22 9 0 16 Jan 2023
Networked Signal and Information Processing Stefan Vlaski S. Kar Ali H. Sayed José M. F. Moura 46 16 0 25 Oct 2022
Quantization for decentralized learning under subspace constraints Roula Nassif Stefan Vlaski Marco Carpentiero Vincenzo Matta Marc Antonini Ali H. Sayed 30 29 0 16 Sep 2022
A Distributed Diffusion Kalman Filter In Multitask Networks I. A. Chikwendu Kulevome Delanyo Kwame Bensah C. Ukwuoma C. Ejiyi 11 0 0 07 Jul 2022
Collaborative likelihood-ratio estimation over graphs Alejandro de la Concha Nicolas Vayatis Argyris Kalogeratos 16 1 0 28 May 2022
Competing Adaptive Networks Stefan Vlaski Ali H. Sayed 14 2 0 29 Mar 2021
Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems S. Savazzi M. Nicoli M. Bennis Sanaz Kianoush Luca Barbieri FedML AIFin AI4CE 40 125 0 09 Jan 2021
Graph signal processing for machine learning: A review and new perspectives Xiaowen Dong D. Thanou Laura Toni M. Bronstein P. Frossard 19 153 0 31 Jul 2020
Distributed Stochastic Multi-Task Learning with Graph Regularization Weiran Wang Jialei Wang Mladen Kolar Nathan Srebro FedML 29 21 0 11 Feb 2018