activity
20182021
most citedThe INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates

2 citations · 2 across the 3 of their papers we have counts for

collaborators

6 papers

math.OC2021

An Asynchronous Approximate Distributed Alternating Direction Method of Multipliers in Digraphs

Wei Jiang, Andreas Grammenos, Evangelia Kalyvianaki +1

In this work, we consider the asynchronous distributed optimization problem in which each node has its own convex cost function and can communicate directly only with its neighbors…

cs.DC2021

Optimal CPU Scheduling in Data Centers via a Finite-Time Distributed Quantized Coordination Mechanism

Apostolos I. Rikos, Andreas Grammenos, Evangelia Kalyvianaki +3

In this paper we analyze the problem of optimal task scheduling for data centers. Given the available resources and tasks, we propose a fast distributed iterative algorithm which o…

eess.AS20212 cited

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates

Björn W. Schuller, Anton Batliner, Christian Bergler +21

The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses four different problems for the first time in a research competition under well-defined conditions: In the CO…

cs.SD2020

Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data

Chloë Brown, Jagmohan Chauhan, Andreas Grammenos +6

Audio signals generated by the human body (e.g., sighs, breathing, heart, digestion, vibration sounds) have routinely been used by clinicians as indicators to diagnose disease or a…

cs.LG2019

Federated Principal Component Analysis

Andreas Grammenos, Rodrigo Mendoza-Smith, Jon Crowcroft +1

We present a federated, asynchronous, and -differentially private algorithm for PCA in the memory-limited setting. Our algorithm incrementally computes local mode…

cs.IT2018

MOSES: A Streaming Algorithm for Linear Dimensionality Reduction

Armin Eftekhari, Raphael A. Hauser, Andreas Grammenos

This paper introduces Memory-limited Online Subspace Estimation Scheme (MOSES) for both estimating the principal components of streaming data and reducing its dimension. More speci…