A Center for Sustainable Cloud Computing

Latest News

New Research Presents First Online FL System

New Research Presents First Online FL System

Researchers from EPFL and INRIA have developed the first online FL system called FLeet, which makes it possible to carry out machine learning on mobile devices in real-time without any impact on learning tasks.

Parental Control or Parent Trap?

Parental Control or Parent Trap?

The study, which has won the “Prize for the research and Personal Data Protection Emilio Aced” given by the Spanish data protection agency (AEPD), raises a potent question: Does the use of parental control apps justify the dangers arising from the collection and processing of private data?

Photonic Chips: Breakthrough in Data Processing

Photonic Chips: Breakthrough in Data Processing

An international group of scientists has collaborated to present a photonic hardware accelerator that is capable of operating at speeds of “trillions of multiply-accumulate operations per second,” far beyond the capabilities of existing computer processors.

EPFL Scientists Point to Perils of Unregulated AI

EPFL Scientists Point to Perils of Unregulated AI

As the applications of AI increase rapidly, the scientific community, as well as lawmakers, are concerned that unregulated AI can lead to misuse and abuse.
In this context, the European Commission took a clear stance by releasing a white paper in February 2020, which could lead to a regulatory framework for AI.

Rafael Pinot Receives EcoCloud Postdoctoral Research Award

Rafael Pinot Receives EcoCloud Postdoctoral Research Award

Distributed computing is already playing a pivotal role in a wide range of applications including web-based communications and intelligent information systems. In keeping with this development, EcoCloud presented a research project award to Rafael Pinot for his ongoing work on controlling the spread of fake news or infectious diseases based on the theory of gossip protocols.

New Humanitarian Initiative Brings Digital Technology and Engineering Skills to the Table

New Humanitarian Initiative Brings Digital Technology and Engineering Skills to the Table

Managing humanitarian aid is one of the most important problems in the modern world. It is also a very powerful and direct approach to make a lasting global impact. Keeping that in context, experts at ETH Zurich and EPFL–two of Switzerland’s leading federal institutes of technology–have joined hands with the International Committee of the Red Cross (ICRC) to launch the Engineering Humanitarian Aid initiative.

AI Helps Predict ‘Cytokine Storms’ in COVID-19 Patients

AI Helps Predict ‘Cytokine Storms’ in COVID-19 Patients

Digipredict detects the first signs of a ‘cytokine storm’ in high-risk COVID-19 patients, thus allowing doctors to act before it causes serious damage to the cardiovascular systems. Cytokines are proteins that play an important role in normal immune responses, but having a large amount of them released in the body all at once can be harmful.

Pascal Frossard Named as Full Professor (STI)

Pascal Frossard Named as Full Professor (STI)

The Board of the Swiss Federal Institutes of Technology has announced the appointment of Pascal Frossard as Full Professor of Electrical Engineering and Electronics in the School of Engineering (STI). Currently Associate Professor at EPFL, he joined the EcoCloud faculty in 2018 to help the research centre drives its cloud computing programs.

New “Sight and Sound” Algorithms to Identify COVID-19 Patterns

New “Sight and Sound” Algorithms to Identify COVID-19 Patterns

About a year ago, when the novel coronavirus broke out, medical science not only failed to arrest its spread but also to properly identify the developmental stages of the disease. Many casualties resulted because the progression of the disease was an enigma. In the later part of the year, there were nascent attempts to harness AI for COVID-19 diagnosis, treatment, and monitoring. A giant step in that direction has been taken recently by researchers at EPFL; they have developed algorithms that can practically see and hear COVID in a patient’s lungs.

EPFL Scientists Spearhead Deep Learning Efforts to Clear Space Debris

EPFL Scientists Spearhead Deep Learning Efforts to Clear Space Debris

At least three EPFL laboratories are working in tandem on the project: Computer Vision Laboratory led by Professor Pascal Fua, Realistic Graphics Lab led by Assistant Professor Wenzel Jakob, and Embedded Systems Lab spearheaded by Professor David Atienza (also a faculty member at EcoCloud).    

Anne-Marie Kermarrec Joins EcoCloud

Anne-Marie Kermarrec Joins EcoCloud

EcoCloud is happy to announce that Anne-Marie Kermarrec, Professor in the School of Computer and Communication Sciences at EPFL, has now come aboard the EcoCloud faculty.

Hédi Fendri Wins OMEGA Prize Student Award

Hédi Fendri Wins OMEGA Prize Student Award

Each year, a student of the Microengineering Section of EPFL is awarded the prestigious OMEGA Student Award for contributing to scientific and technological advances in the disciplines of Microengineering, Micro- and Nanotechnologies, and Chronometry. This year, the Board of the Foundation of the OMEGA Prize decided to honor Mohammed Hédi Fendri, a master student at the Institute of Microengineering in EPFL’s School of Engineering.

Award Ceremony: ICCAD 2020 Ten Year Retrospective Most Influential Paper Award

Award Ceremony: ICCAD 2020 Ten Year Retrospective Most Influential Paper Award

The ICCAD Executive Committee has recognized “3D-ICE: Fast Compact Transient Thermal Modeling for 3D ICs with Inter-Tier Liquid Cooling” as “the most influential on research and industrial practice in computer-aided design of integrated circuits over the ten years since its original appearance at ICCAD.” The authors of the paper are Arvind Sridhar, Alessandro Vincenzi, Martino Ruggiero, David Atienza (all from the Embedded Systems Laboratory – ESL at EPFL), and Thomas Brunschwiler (IBM Zurich Research Laboratory).

Carmela Troncoso among Fortune’s 40 Under 40

Carmela Troncoso among Fortune’s 40 Under 40

Her inclusion in Fortune’s 40 Under 40 provides Troncoso a platform to showcase the work done by the SPRING lab in alleviating the negative impact of technology on society, such as privacy concerns, and presenting purely system-based solutions rather than data-driven platforms.

Novel Frequency Division Technique to Generate Low-Noise Microwave Signals

Novel Frequency Division Technique to Generate Low-Noise Microwave Signals

Researchers at EPFL’s Laboratory of Photonics and Quantum Measurements (K-Lab), Trinity College Dublin (TCD), and Dublin City University (DCU) have teamed up to develop a new technique for generating variable low-noise microwaves with a single optical microresonator. The paper was recently published in Science Advances.

3D-ICE Thermal Modeling Research Wins Retrospective Most Influential Paper Award

3D-ICE Thermal Modeling Research Wins Retrospective Most Influential Paper Award

Given the fast pace of research, very few scientific studies stand the test of time. Even rarer is a study that continues to influence research a decade after its first publication. That distinction goes to “3D-ICE: Fast Compact Transient Thermal Modeling for 3D ICs with Inter-Tier Liquid Cooling,” a paper presented at the IEEE/ACM International Conference on Computer-Aided Design (ICCAD) 2010 Conference. It has been selected as the winner of the prestigious ICCAD 2020 – Ten Year Retrospective Most Influential Paper Award , which is one the most prestigious given in the Electronic Design Automation (EDA) community about industrial and academic relevance of a technical paper.

Black-box Estimation of the Bayes Risk Using ML Methods

Black-box Estimation of the Bayes Risk Using ML Methods

One of the key researches in the domain of quantitative information flow (QIF) is to effectively estimate information leaks in a system in order to prevent adversarial attacks. Most existing approaches are based on the white-box approach. However, this approach is often impractical due to the size or complexity of its internals, or the presence of unknown factors. This and other challenges forced a shift in focus to investigate methods for measuring a system’s leakage in a black-box manner.

Microchannel Network Inspired by the Human Circularity System

Microchannel Network Inspired by the Human Circularity System

While scientists have successfully reduced the size and costs of electronic components, a major challenge faced by such tiny devices is the absence of an optimum thermal and energy management technology. To bridge that gap, Elison Matioli and his colleagues at EPFL’s Power and Wide-band-gap Electronics Research Laboratory (POWERlab) have developed a novel microchannel network that not only cools electronic components but also makes them energy efficient.

Facebook-EPFL Joint ML Research Engagement

Facebook-EPFL Joint ML Research Engagement

Facebook and EPFL have initiated a collaborative program that aims to carry out seminal research with common meeting points for both organizations. Facebook seeks to leverage EPFL’s proven expertise in Computer Science and Engineering to enable the flow of technology from one of the most renowned research institutions to the leading American social media conglomerate. The collaboration will also help the latter strengthen its position in Switzerland and gain access to some of the best academic minds in Europe.

Datashare Network: A Decentralized Search Engine for Journalists

Datashare Network: A Decentralized Search Engine for Journalists

EPFL researchers at the Security and Privacy Engineering (SPRING) Lab, School of Computer and Communication Sciences (IC), have developed a ‘Datashare Network’ that allows investigative journalists to exchange information securely and anonymously. A detailed paper on the subject will be presented by the scientists at the 29th Usenix Security Symposium (USENIX Security ’20), which will be held online from August 12 to 14. The event, which brings together specialists in the security and privacy of computer systems and networks, will undoubtedly draw worldwide attention to the EPFL research.

EPFL Authors Win ISVLSI 2020 Best Paper Award

EPFL Authors Win ISVLSI 2020 Best Paper Award

The paper “Enabling Optimal Power Generation of Flow Cell Arrays in 3D MPSoCs with On-Chip Switched Capacitor Converters” is a collaborative research by Halima Najibi, Alexandre Levisse, Marina Zapater, and David Atienza, who are associated with EPFL’s Embedded Systems Laboratory (ESL). Considering the reputation of the symposium, built over a period of three decades, it is no mean achievement to have a paper accepted and then selected as the Best Paper. Many congratulations to the EPFL authors for their singular academic triumph.

Dina G. Mahmoud Awarded CYD Doctoral Fellowship

Dina G. Mahmoud Awarded CYD Doctoral Fellowship

As a CYD Doctoral Fellow, Dina will conduct research on vulnerabilities and backdoors in heterogeneous hardware platforms, for protecting the confidentiality, integrity and availability of cyber and cyber-physical systems.

Google-Apple–based “SwissCovid” App in Pilot Test

Google-Apple–based “SwissCovid” App in Pilot Test

The first coronavirus digital contact-tracing app using OS updates from Google and Apple is now in a large-scale pilot test. Dubbed as SwissCovid, the app is based on the decentralized protocol, where operations that have data privacy implications are not stored or conducted through a centralized server, but on the phone of individual users. Employees at EPFL, ETH Zurich, the Swiss Army, and select hospitals and cantonal administrations can now download the app for tracing contacts at risk of transmission of COVID-19.

EPFL Field-tests Contact Tracing App

EPFL Field-tests Contact Tracing App

As the name implies, the international Decentralized Privacy-Preserving Proximity Tracing project (DP3T) focuses on data privacy and negates any chance of data being misused by hackers.

Survey Reveals Importance of the Messenger in COVID-19 Communication

Survey Reveals Importance of the Messenger in COVID-19 Communication

The research paper “Who is listening? Spokesperson Effect on Communicating Social and Physical Distancing Measures During the COVID-19 Pandemic” is authored by Andreas Spitz and Ahmad Abu-Akel (Institute of Psychology, University of Lausanne) and Robert West (School of Computer and Communication Sciences, EPFL).

Coming Soon: EPFL’s App-based Self-screener for COVID-19

Coming Soon: EPFL’s App-based Self-screener for COVID-19

A group of five researchers at EPFL’s Embedded Systems Laboratory (ESL) have developed an artificial intelligence-based system that allows you to record your cough and have it analyzed almost instantly to indicate whether you have COVID-19. In a few weeks’ time, the team will release an app, aptly named Coughvid, which will be available for free and direct download to your devices.