We often use stochastic descriptions to model complex systems. Many of our projects involve kinetic Monte Carlo, agent-based models and multiscale modeling. A reoccurring theme is how to leverage distributed e-infrastructure for simulations and how to use machine learning to construct approximations.
A core theme in the group is the use of machine learning to make scientific computing software and infrastructure more efficient, interactive and scalable. We also do disciplinary research in specific areas of ML, such as likelihood-free inference and privacy-preserving federated machine learning.
Our research in distributed computing and data engineering sciences ranges from development of new ways to manage large and fast data to design and development of massively parallel, interactive, cloud native applications operating in cloud, fog and edge infrastructure.
The group participates in the eSSENCE strategic initiative on eScience, focusing on eScience tools and technologies.
Scaleout Systems is a spin-off from the group, focusing on privacy-preserving AI and cloud-native machine learning.
Learn more about trust and collaboration in federated learning with Daniel Zakrisson.
#federatedlearning #ml #ai
@FederatedML @FedLearning @ChaoyangHe @flow_seminar @m_galtier @KerrieMengersen
https://www.youtube.com/watch?v=ixrOWnan_zM https://www.youtube.com/watch?v=ixrOWnan_zM
Another step in our mission to enable secure and decentralized AI: Federated learning + confidential computing! @scaleoutsystem @AISweden @uuinnovation
We are thrilled to announce a partnership with HUB Security Ltd. and to be able bring Scaleout federated learning technology to HUB Security's secure confidential computing cybersecurity platform.
Learn more in this announcement:
https://finance.yahoo.com/news/hub-security-ltd-scaleout-announce-121700632.html
#cybersecurity #ai #ml
Here's an opportunity to deep dive into federated learning in data-driven life science. A recording from the @scilifelab workshop earlier this month with @ola_spjuth and @A_Hellander.
https://www.youtube.com/watch?v=laLyTV10rGQ
#machinelearning #data #federatedlearning https://www.youtube.com/watch?v=laLyTV10rGQ
