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PhD student in Scientific Computing focusing on Secure Federated Machine Learning

Posted on May 11, 2022May 11, 2022 By Salman Toor No Comments on PhD student in Scientific Computing focusing on Secure Federated Machine Learning
PhD student in Scientific Computing focusing on Secure Federated Machine Learning

Project Description Artificial intelligence (AI) is at the core of modern-day applications. With the advent of massive datasets, the last two decades were dedicated to improve the mathematical modeling and training processes; And recently the focus has shifted towards security, privacy and trust based AI assisted solutions. Together with a number of other viable solutions,…

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Data Science, Data-Intensive Computing, Federated Learning, FedML, News, Open Positions

Open PhD position in Scientific Computing

Posted on May 3, 2022May 3, 2022 By Salman Toor No Comments on Open PhD position in Scientific Computing
Open PhD position in Scientific Computing

We have one open PhD position focusing on Cybersecurity and Machine Learning for Critical Infrastructures Application submission deadline: May 16, 2022 The application submission link is available on the following page: https://www.uu.se/en/about-uu/join-us/details/?positionId=501061 This PhD position is part of the eSSENCE – SciLifeLab graduate school in data-intensive science. The school addresses the challenge of data-intensive science both from…

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Applied Cloud Computing, Data Science, Data-Intensive Computing, News, Open Positions

Two Open PhD Positions

Posted on March 4, 2022April 2, 2022 By Prashant Singh No Comments on Two Open PhD Positions
Two Open PhD Positions

We welcome applications for 2 PhD positions in the group. This is an exciting opportunity to join us at SciLifeLab and the Division of Scientific Computing, UU to conduct highly interdisciplinary research in machine learning, computational science and systems biology. Please refer to the detailed advertisements below. Statistical Sampling/Active Learning for Large-Scale Scientific Experiments Machine…

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Data Science, News, Open Positions, systems biology

FedQAS: Federated machine reading comprehension based on FEDn

Posted on February 14, 2022February 14, 2022 By admin No Comments on FedQAS: Federated machine reading comprehension based on FEDn
FedQAS: Federated machine reading comprehension based on FEDn

Machine reading comprehension (MRC) of text data is a complex NLP problem with a lot of ongoing research fueled by the release of the Stanford Question Answering Dataset (SQuAD). It is considered to be an effort to teach computers how to “understand” a text, and then to be able to answer questions about it using…

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Data-Intensive Computing, Federated Learning, News, publication, Software

Proactive Autoscaling for Edge Computing Systems with Kubernetes

Posted on December 21, 2021December 21, 2021 By Salman Toor No Comments on Proactive Autoscaling for Edge Computing Systems with Kubernetes
Proactive Autoscaling for Edge Computing Systems with Kubernetes

Happy to announce our newly accepted article: Accepted at the 14th IEEE/ACM International Conference on Utility and Cloud Computing UCC 2021. Abstract With the emergence of the Internet of Things and 5G technologies, the edge computing paradigm is playing increasingly important roles with better availability, latency-control and performance. However, existing autoscaling tools for edge computing…

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Applied Cloud Computing, Data Science, Data-Intensive Computing, HASTE, News, Software

Prashant Singh appointed SciLifeLab Fellow in data-driven life science

Posted on September 1, 2021September 13, 2021 By admin No Comments on Prashant Singh appointed SciLifeLab Fellow in data-driven life science
Prashant Singh appointed SciLifeLab Fellow in data-driven life science

Prashant Singh has been awarded a SciLifeLab Fellow position and this returns as a PI to Uppsala and ISCL after a period as Assistant Professor in Computer Science at Umeå University! The fellowship is a tenure-track position and comes with a substantial startup package, and is a part of SciLifeLabs strategy to transform and expand…

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News, Uncategorized

Xiaobo Zhang joins the lab

Posted on May 31, 2021October 17, 2021 By admin No Comments on Xiaobo Zhang joins the lab
Xiaobo Zhang joins the lab

We are happy to welcome Dr Xiaobo Zhang to the lab. Xiaobo will be working in the HASTE project, developing new methods for intelligent management of data streams composed of scientific data objects such as images. He brings expertise on working on compressed data in machine learning and edge computing. Xiaobo Zhao received the M.S….

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HASTE, News

Omar Javed joins the group as a visiting PhD student

Posted on February 15, 2021February 15, 2021 By admin No Comments on Omar Javed joins the group as a visiting PhD student
Omar Javed joins the group as a visiting PhD student

We are happy to welcome Omar Javad for his exchange year as a visiting PhD student! Omar a PhD student in Università della Svizzera italiana (USI), Switzerland. His research interest includes dynamic program analysis, mining software repositories, virtualization and runtime verification. In particular I am investigating dynamic program analysis technique for understanding functional and non-functional…

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Applied Cloud Computing, News

Trusted Execution Environment (TEE) For Federated Learning

Posted on January 14, 2021September 14, 2021 By admin No Comments on Trusted Execution Environment (TEE) For Federated Learning
Trusted Execution Environment (TEE) For Federated Learning

The Scaleout team, in close collaboration with ISCL, was granted SEK 2.1M to explore the use of secure enclaves to increase the veracity in federated learning. Read more about the project here: https://www.scaleoutsystems.com/post/trusted-execution-environment-for-federated-learning

Data-Intensive Computing, FedML, Funding, News

Smart Resource Management for Data Streaming using an Online Bin-packing Strategy

Posted on December 16, 2020September 13, 2021 By admin No Comments on Smart Resource Management for Data Streaming using an Online Bin-packing Strategy
Smart Resource Management for Data Streaming using an Online Bin-packing Strategy

The stream processing framework HarmonicIO is a prototype that addresses the needs for processing streams based on relatively large individual objects. In this regard, it is a specialized streaming framework well-suited for scientific workflows. Salman Toor and Oliver Stein presented this work, and our latest publication  Smart Resource Management for Data Streaming using an Online…

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Applied Cloud Computing, Data-Intensive Computing, HASTE, News, publication, Software

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Data-and simulation-driven life science. Much of our work in eScience and applied ML has applications in life science, and in Systems Biology in particular. We aim to enable data-and simulation-driven scientific discovery.

HASTE - a cloud native framework for intelligent processing of image streams: http://haste.research.it.uu.se/

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Andreas HellanderFollow

Andreas Hellander
A_HellanderAndreas Hellander@A_Hellander·
11 May

Are you using StochSS? Please help us gather insights into what is working well and what can be improved by filling in this short survey https://forms.gle/mEqfASuUd3MDWuPS9

@LindaPetzold @briandrawert @mhucka

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A_HellanderAndreas Hellander@A_Hellander·
9 May

Apply to this PhD student position in the eSSENCE and SciLifeLab graduate school in data-intensive science!

This project is the intersection of cybersecurity and big data with main supervisor @sztoor.
https://www.uu.se/en/about-uu/join-us/details/?positionId=501061

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A_HellanderAndreas Hellander@A_Hellander·
28 Apr

PhD position in the eSSENCE/@scilifelab graduate school in data-intensive science with @cnettel: https://uu.se/en/about-uu/join-us/details/?positionId=501716 Apply and be part of a new interdiciplinary research effort @UU_University!

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A_HellanderAndreas Hellander@A_Hellander·
23 Apr

If you are a current user of StochSS please let us know your thoughts by filling out this brief user survey: https://forms.gle/3r836iph8gqFEpZX7

#systemsbiology #stochss @LindaPetzold @briandrawert @prashant_rsingh

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Retweet on TwitterAndreas Hellander Retweeted
AssistSweASSIST Sweden@AssistSwe·
14 Apr

Soon the partners in the ASSIST project will attend a workshop on federated learning arranged by Scaleout. Partners from different countries (Sweden, Belgium, Netherlands, Turkey) will contribute with nodes that train a segmentation network.

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Decentralized AI, Federated Learning. One focus area of the group is development of methods and software to address decentralized and privacy-preserving AI. We are core contributors to the FEDn open source framework for scalable federated machine learning:

https://github.com/scaleoutsystems/fedn
Introduction to Federated Learning by Andreas Hellander
Join the discussion on Decentralized AI:

Scaleout Systems is a spin-out from ISCL on a mission to enable decentralized AI and federated learning to production.

https://www.scaleoutsystems.com/

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