Andreas Hellander

Besökte företagen Scaleout Systems, Unibap och Försvarsmaktens rymdavdelning i Uppsala. Företagens arbete med AI och rymdteknik visar vägen för hur svensk innovationskraft kan stärka försvarsförmågan och lösa militära problem. (1/4)

@scaleoutsystem and @flwrlabs are excited to announce a strategic collaboration to drive the adoption and innovation of federated learning methodology. (1/4) scaleoutsystems.com/post/scaleout-… @niclane7 @daniel_janes @A_Hellander @ salmantoor

Check out my latest article: Federated Learning: Self-managed on-premise or SaaS ? linkedin.com/pulse/federate… via @LinkedIn

We are delighted to introduce a key 1st step in compatibility b/w Scaleout ➕ Flower! 🚀 A range of 🌼 Flower ClientApps can now run in Scaleout Studio; we are working towards full support soon. Welcome Scaleout to the Flower eco-system! 📕 Blog: buff.ly/49LaSIY

@flwrlabs Thank you for the collaboration Flower team, and welcome Flower community to use FEDn Studio SaaS!

Join our great team at @SciLifeLab_DC! We are now looking for IT-ansvarig SciLifeLab 👉Apply by Dec 12th. 👉More & apply here: kth.se/om/work-at-kth… 👉More about @SciLifeLab_DC here: scilifelab.se/data @scilifelab @KTHuniversity

Starting in 30mins :-)

eSSENCE, SERC and Chalmers e-science Centre are providing core e-science education to PhD students from the SeSE platform: sese.nu Researchers - get funding to develop and give a PhD course! @uppsalauni @lunduniversity @umeauniversitet

Day two of the Swedish eScience Academy organized by eSSENCE. Interesting to learn from Sverker Holmgren of Chalmers eCommons about the holistic approach to infrastructure and support for data centric research at Chalmers! @UmeaUniversity @UU_University @lunduniversity

So great to be at the Swedish e-science Academy organized by #essenceofescience! Two days of scientific exchange between colleagues nationally, and in particular from the partner universities @UU_University @UmeaUniversity @lunduniversity. Keynote day one by Kersti Hermansson.

Really proud of Sonja Mathias who defended her PhD thesis the other week. Thank you @ruth_baker for being faculty opponent, and thanks to @Soccermatics, Sara Zahedi, Eddie Wadbro and @pgerlee for being the grading committee!

@yannik_schaelte @HCM_Bonn @JanHasenauer @dennisprangle @CuraCosta @YaqineHouda @dilan_pathirana @MVaisband @simonmape I had a really good time, thanks for organizing!

Very much enjoyed this 🌞summer school at @HCM_Bonn! 👩‍🏫Amazing lectures on stochastic models and inference; 👩‍🎓awesome contributed presentations; 🔧practical tool sessions; 🎇great discussions sparking up insights and coops; 👥inspiring panels; 🏃‍♀️fun hikes. hsm.uni-bonn.de/events/hsm-sch…

PhD postion in secure federated learning with @salman at the ISCL lab: uu.varbi.com/en/what:job/jo…

@dennisprangle Lot's of fun!

Really enjoying the #HausdorffSchool on inverse methods for multi scale methods, filling in the gaps in my knowledge about MJPs, SDEs, and systems biology

Great thesis, read it !

While training a diffusion model to generate synthetic images, @MuhamadUsmanAkb managed to generate som nice brain art

This position is a great opportunity to part of shaping both research and education in #dataengineering and / or #HPC at a leading institution. For example, you will play a key role in our international master program in Data Science.

We are searching for a new (tenured) Associate Professor in distributed, parallel and data-intensive computing at Uppsala University: uu.se/en/about-uu/jo…

🎒Summer school: 𝐈𝐧𝐯𝐞𝐫𝐬𝐞 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬 𝐟𝐨𝐫 𝐦𝐮𝐥𝐭𝐢-𝐬𝐜𝐚𝐥𝐞 𝐦𝐨𝐝𝐞𝐥𝐬 💬With: Linda Petzold, Christiane Fuchs, @dennisprangle, @StefanEngblom, @A_Hellander ⏰August 22-26 📌@HCM_Bonn ✏️Details+register: hcm.uni-bonn.de/events/eventpa…

3. A black-box model for the model updates lets us incorporate any ML model type and framework. The price is that we loose the opportunity for data-structure specific code optimizations.

2. FEDn builds on well-understood distributed computing patterns and ensures that any algorithm implemented in the framework will scale horizontally.

Really enjoyed presenting our work on federated learning with FEDn at CCGRID22 last week. Some takeaways from the talk (1/3): 1. Algorithm development must have real-world scalability in mind and there is a risk in missing this aspect if only considering simulation of FL.