You Are Sensing, but Are You Biased?: A User Unaided Sensor Calibration Approach for Mobile Sensing. - Andreas Grammenos; Cecilia Mascolo; Jon Crowcroft (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Federated PCA with Adaptive Rank Estimation. - Andreas Grammenos; Rodrigo Mendoza-Smith; Cecilia Mascolo; Jon Crowcroft (CoRR, 2019)

Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data. - Chloë Brown; Jagmohan Chauhan; Andreas Grammenos; Jing Han 010; Apinan Hasthanasombat; Dimitris Spathis; Tong Xia; Pietro Cicuta; Cecilia Mascolo (KDD, 2020)

Federated Principal Component Analysis. - Andreas Grammenos; Rodrigo Mendoza-Smith; Jon Crowcroft; Cecilia Mascolo (NeurIPS, 2020)

Dissecting the Workload of a Major Adult Video Portal. - Andreas Grammenos; Aravindh Raman; Timm Böttger; Zafar Gilani; Gareth Tyson (PAM, 2020)

MOSES: A Streaming Algorithm for Linear Dimensionality Reduction. - Armin Eftekhari; Raphael A. Hauser; Andreas Grammenos (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

An Asynchronous Approximate Distributed Alternating Direction Method of Multipliers in Digraphs. - Wei Jiang 014; Andreas Grammenos; Evangelia Kalyvianaki; Themistoklis Charalambous (CDC, 2021)

Optimal CPU Scheduling in Data Centers via a Finite-Time Distributed Quantized Coordination Mechanism. - Apostolos I. Rikos; Andreas Grammenos; Evangelia Kalyvianaki; Christoforos N. Hadjicostis; Themistoklis Charalambous; Karl Henrik Johansson (CDC, 2021)

Exploring Automatic COVID-19 Diagnosis via Voice and Symptoms from Crowdsourced Data. - Jing Han 010; Chloë Brown; Jagmohan Chauhan; Andreas Grammenos; Apinan Hasthanasombat; Dimitris Spathis; Tong Xia; Pietro Cicuta; Cecilia Mascolo (ICASSP, 2021)

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. - Björn W. Schuller; Anton Batliner; Christian Bergler; Cecilia Mascolo; Jing Han 010; Iulia Lefter; Heysem Kaya; Shahin Amiriparian; Alice Baird; Lukas Stappen; Sandra Ottl; Maurice Gerczuk; et al. (Interspeech, 2021)

COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening. - Tong Xia; Dimitris Spathis; Chloë Brown; Jagmohan Chauhan; Andreas Grammenos; Jing Han 010; Apinan Hasthanasombat; Erika Bondareva; Ting Dang; Andres Floto; Pietro Cicuta; Cecilia Mascolo (NeurIPS Datasets and Benchmarks, 2021)

Enabling In-Ear Magnetic Sensing: Automatic and User Transparent Magnetometer Calibration. - Andrea Ferlini; Alessandro Montanari; Andreas Grammenos; Robert Harle; Cecilia Mascolo (PerCom, 2021)

Pronto: Federated Task Scheduling. - Andreas Grammenos; Evangelia Kalyvianaki; Peter R. Pietzuch (CoRR, 2021)

Federated linear dimensionality reduction. - Andreas Grammenos (2021)

Distributed CPU Scheduling Subject to Nonlinear Constraints. - Mohammadreza Doostmohammadian; Alireza Aghasi; Apostolos I. Rikos; Andreas Grammenos; Evangelia Kalyvianaki; Christoforos N. Hadjicostis; Karl Henrik Johansson; Themistoklis Charalambous (CCTA, 2022)

COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study. - Ting Dang; Jing Han 010; Tong Xia; Dimitris Spathis; Erika Bondareva; Chloë Brown; Jagmohan Chauhan; Andreas Grammenos; Apinan Hasthanasombat; Andres Floto; Pietro Cicuta; Cecilia Mascolo (CoRR, 2022)

Sounds of COVID-19: exploring realistic performance of audio-based digital testing. - Jing Han 010; Tong Xia; Dimitris Spathis; Erika Bondareva; Chloë Brown; Jagmohan Chauhan; Ting Dang; Andreas Grammenos; Apinan Hasthanasombat; Andres Floto; Pietro Cicuta; Cecilia Mascolo (npj Digit. Medicine, 2022)

Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19. - Ting Dang; Jing Han 010; Tong Xia; Erika Bondareva; Chloë Siegele-Brown; Jagmohan Chauhan; Andreas Grammenos; Dimitris Spathis; Pietro Cicuta; Cecilia Mascolo (KDD, 2023)

Distributed Optimization for Quadratic Cost Functions over Large-Scale Networks with Quantized Communication and Finite-Time Convergence. - Apostolos I. Rikos; Andreas Grammenos; Evangelia Kalyvianaki; Christoforos N. Hadjicostis; Themistoklis Charalambous; Karl Henrik Johansson (CoRR, 2023)

CPU Scheduling in Data Centers Using Asynchronous Finite-Time Distributed Coordination Mechanisms. - Andreas Grammenos; Themistoklis Charalambous; Evangelia Kalyvianaki (IEEE Trans. Netw. Sci. Eng., 2023)

A summary of the ComParE COVID-19 challenges. - Harry Coppock; Alican Akman; Christian Bergler; Maurice Gerczuk; Chloë Brown; Jagmohan Chauhan; Andreas Grammenos; Apinan Hasthanasombat; Dimitris Spathis; Tong Xia; Pietro Cicuta; Jing Han 010; et al. (Frontiers Digit. Health, 2023)

Average Consensus over Directed Networks in Open Multi-Agent Systems with Acknowledgement Feedback. - Evagoras Makridis; Andreas Grammenos; Gabriele Oliva; Evangelia Kalyvianaki; Christoforos N. Hadjicostis; Themistoklis Charalambous (CDC, 2024)

Distributed Optimization for Quadratic Cost Functions With Quantized Communication and Finite-Time Convergence. - Apostolos I. Rikos; Andreas Grammenos; Evangelia Kalyvianaki; Christoforos N. Hadjicostis; Themistoklis Charalambous; Karl Henrik Johansson (IEEE Trans. Control. Netw. Syst., 2025)