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09/18/2023
A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning
Communication efficiency is a major challenge in federated learning (FL)...
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04/14/2023
Distributed detection of ARMA signals
This paper considers a distributed detection setup where agents in a net...
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01/24/2022
Decentralized EM to Learn Gaussian Mixtures from Datasets Distributed by Features
Expectation Maximization (EM) is the standard method to learn Gaussian m...
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10/06/2021
Robust Localization with Bounded Noise: Creating a Superset of the Possible Target Positions via Linear-Fractional Representations
Locating an object is key in many applications, namely in high-stakes re...
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09/07/2021
COCO Denoiser: Using Co-Coercivity for Variance Reduction in Stochastic Convex Optimization
First-order methods for stochastic optimization have undeniable relevanc...
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06/20/2021
Distributed Picard Iteration: Application to Distributed EM and Distributed PCA
In recent work, we proposed a distributed Picard iteration (DPI) that al...
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03/31/2021
Distributed Picard Iteration
The Picard iteration is widely used to find fixed points of locally cont...
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12/18/2019
Primal-dual optimization methods for large-scale and distributed data analytics
The augmented Lagrangian method (ALM) is a classical optimization tool t...
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07/31/2018
FADE: Fast and Asymptotically efficient Distributed Estimator for dynamic networks
Consider a set of agents that wish to estimate a vector of parameters of...
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03/26/2018
