375 citations · 1.5k across the 40 of their papers we have counts for
44 papers
Distributed detection of ARMA signals
João Domingos, João Xavier
This paper considers a distributed detection setup where agents in a network want to detect a time-varying signal embedded in temporally correlated noise. The signal of interest is…
Decentralized EM to Learn Gaussian Mixtures from Datasets Distributed by Features
Pedro Valdeira, Cláudia Soares, João Xavier
Expectation Maximization (EM) is the standard method to learn Gaussian mixtures. Yet its classic, centralized form is often infeasible, due to privacy concerns and computational an…
Robust Localization with Bounded Noise: Creating a Superset of the Possible Target Positions via Linear-Fractional Representations
João Domingos, Cláudia Soares, João Xavier
Locating a target is key in many applications, namely in high-stakes real-world scenarios, like detecting humans or obstacles in vehicular networks. In scenarios where precise stat…
COCO Denoiser: Using Co-Coercivity for Variance Reduction in Stochastic Convex Optimization
Manuel Madeira, Renato Negrinho, João Xavier +1
First-order methods for stochastic optimization have undeniable relevance, in part due to their pivotal role in machine learning. Variance reduction for these algorithms has become…
Distributed Banach-Picard Iteration: Application to Distributed EM and Distributed PCA
Francisco L. Andrade, Mário A. T. Figueiredo, João Xavier
In recent work, we proposed a distributed Banach-Picard iteration (DBPI) that allows a set of agents, linked by a communication network, to find a fixed point of a locally contract…
StochaLM: a Stochastic alternate Linearization Method for distributed optimization
Inês Almeida, João Xavier
We present the Stochastic alternate Linearization Method (StochaLM), a token-based method for distributed optimization. This algorithm finds the solution of a consensus optimizatio…