FERMI EU(@fermi_project) 's Twitter Profile Photo

technology allows to train models in a federated way, but including additional and -preserving measures.

Read more about the importance of this key result in the project's e-brochures ⬇️
lnkd.in/d3qHCGJT

#SwarmLearning technology allows to train #AI models in a federated way, but including additional #security and #privacy-preserving measures.

Read more about the importance of this key #FermiEU result in the project's e-brochures ⬇️
lnkd.in/d3qHCGJT
#HorizonEU
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Susanne Herold(@HeroldSusa) 's Twitter Profile Photo

Great to part of this endeavor, to study immune responses to against and perspectively other respiratory diseases. Thanks for funding us and looking forward to with great colleagues

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ODELIA Project(@ODELIA_ai) 's Twitter Profile Photo

💪Driving excellence in patient-oriented medicine! Meet one of ODELIA's scienfic coordinators Uniklinik RWTH AC 🇩🇪, a supramaximal care provider spearheading the development of our network.
👉odelia.ai/consortium/uka
@danieltruhn RWTH Aachen Lab for Artificial Intelligence in Medicine @ UKA

💪Driving excellence in patient-oriented medicine! Meet one of ODELIA's scienfic coordinators  @UniklinikAachen 🇩🇪, a supramaximal care provider spearheading the development of our #SwarmLearning network.
👉odelia.ai/consortium/uka
#HorizonEU #EUfunded @danieltruhn @RWTH @laim_uka
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Ece Uzun, MS, PhD, FAMIA(@ecique_) 's Twitter Profile Photo

Dr. Sean Hacking from University of Toronto presented the paper titled 'Swarm learning for decentralized artificial intelligence in cancer histopathology' at our Bioinformatics Journal Club. Great study, presentation and discussion!
Brown Pathology and Laboratory Medicine
Jakob Nikolas Kather

Dr. @SeanHacking from University of Toronto presented the paper titled 'Swarm learning for decentralized artificial intelligence in cancer histopathology' at our Bioinformatics Journal Club. Great study, presentation and discussion! 
@BrownPathology
 @jnkath
 #AI #swarmlearning
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Joachim L. Schultze(@JoLSchultze) 's Twitter Profile Photo

From vision to reality takes it's time, but we are getting closer to make a big step forward with . And yes, Fabian Theis, let's continue on this journey together.

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EIBIR_biomed(@EIBIR_biomed) 's Twitter Profile Photo

Oliver Diaz Radio Val 🔄Daniel Truhn from Aachen, DE, presents @ODELIA_AI, an open-source approach for decentralised medical in detection. Join us for insights on collaborative AI development and MR breast imaging progress. 🤝🎓
Lab for Artificial Intelligence in Medicine @ UKA

@ooliverdiaz @RadioVal_AI 🔄@DanielTruhn from Aachen, DE, presents @ODELIA_AI, an open-source #swarmlearning approach for decentralised medical #AI in #breastcancer detection. Join us for insights on collaborative AI development and MR breast imaging progress. 🤝🎓
#ECR2024 #HorizonEU #EUfunded @laim_uka
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Jeroen Bronkhorst(@jbronkho) 's Twitter Profile Photo

is the topic in this week's . Research found that Swarm Learning can train models 10 times faster with 17% better accuracy and with up to 50% less consumption. But what is swarm learning? tinyurl.com/5cymwsk8

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Herold Lab(@HeroldLab) 's Twitter Profile Photo

Prof. Susanne Herold is joining the research consortium , an AI technology aiming to pave the way for an international research network and infrastructure to better respond to pandemic developments!

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EIBIR_biomed(@EIBIR_biomed) 's Twitter Profile Photo

🌐Our ODELIA Project project establishes a pan-European network for privacy-preserving medical development.
Find out how ODELIA will unlock the potential of in our session on Sunday, March 3 at 11:30 and at our booth on level 1!
Daniel Truhn

🌐Our @ODELIA_ai project establishes a pan-European network for privacy-preserving medical #AI development.
Find out how ODELIA will unlock the potential of #SwarmLearning in our session on Sunday, March 3 at 11:30 and at our booth on level 1!
#HorizonEU #EUfunded @DanielTruhn
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Ali Sunyaev(@AliSunyaev) 's Twitter Profile Photo

How to obtain sufficient high-quality training data for ML models? Collaborative Distributed Machine Learning systems (CDML) could be the ideal solution 👉 lnkd.in/d4VPpu7c

How to obtain sufficient high-quality training data for  ML models? Collaborative Distributed Machine Learning systems (CDML) could be the ideal solution 👉 lnkd.in/d4VPpu7c

#DataScarcity #MachineLearning #FederatedLearning #SwarmLearning #SplitLearning #AssistedLearning
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DZNE Research Center(@DZNE_en) 's Twitter Profile Photo

🖥️⚕️🔬 : Consortium of German research institutions coordinated by uses pioneering technology to analyze distributed data on -19. 🔵Funder: VolkswagenStiftung ⏭️dzne.de/en/news/press-… /mn

🖥️⚕️🔬#SwarmLearning: Consortium of German research institutions coordinated by #DZNE uses pioneering #ai technology to analyze distributed data on #COVID-19. 🔵Funder: @VolkswagenSt  ⏭️dzne.de/en/news/press-… /mn
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