Search Results for author: Stefan Werner

Found 8 papers, 1 papers with code

Decentralized Optimization with Distributed Features and Non-Smooth Objective Functions

no code implementations23 Aug 2022 Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei, Stefan Werner

We develop a new consensus-based distributed algorithm for solving learning problems with feature partitioning and non-smooth convex objective functions.

Distributed Optimization

Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression

no code implementations27 Nov 2021 Francois Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh

In this manner, we reduce the communication load of the participants and, therefore, render participation in the learning task more accessible.

Federated Learning regression

Communication-Efficient Online Federated Learning Framework for Nonlinear Regression

no code implementations13 Oct 2021 Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh

As a solution, this paper presents a partial-sharing-based online federated learning framework (PSO-Fed) that enables clients to update their local models using continuous streaming data and share only portions of those updated models with the server.

Federated Learning regression

On Stability and Convergence of Distributed Filters

no code implementations22 Feb 2021 Sayed Pouria Talebi, Stefan Werner, Vijay Gupta, Yih-Fang Huang

The paradigm of stability and convergence in distributed filtering is revised in this manuscript.

Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis

1 code implementation6 Jul 2020 Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr, Eyke Hüllermeier

In an extensive experimental study with the standard benchmark ASlib, our approach is shown to be highly competitive and in many cases even superior to state-of-the-art AS approaches.

Survival Analysis

Recursive Total Least-Squares Algorithm Based on Inverse Power Method and Dichotomous Coordinate-Descent Iterations

no code implementations25 Aug 2014 Reza Arablouei, Kutluyıl Doğançay, Stefan Werner

We develop a recursive total least-squares (RTLS) algorithm for errors-in-variables system identification utilizing the inverse power method and the dichotomous coordinate-descent (DCD) iterations.

Analysis of a Reduced-Communication Diffusion LMS Algorithm

no code implementations25 Aug 2014 Reza Arablouei, Stefan Werner, Kutluyıl Doğançay, Yih-Fang Huang

In diffusion-based algorithms for adaptive distributed estimation, each node of an adaptive network estimates a target parameter vector by creating an intermediate estimate and then combining the intermediate estimates available within its closed neighborhood.

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