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#federatedlearning

1 post1 participant0 posts today
Jorge Miguel Silva

📢 Just published our new work on federated random forests for privacy-preserving machine learning!
📄 “A Federated Random Forest Solution for Secure Distributed Machine Learning”
📌 IEEE: doi.org/10.1109/CBMS65348.2025

📂 Supplementary slides:
🔗 doi.org/10.5281/zenodo.16539345

We're advancing secure AI without sharing data. Feedback & collaborations welcome! 🚀
#FederatedLearning #PrivacyPreservingAI #MachineLearning #OpenScience #IEEE #DataScience #Zenodo #ResearchSoftware #Reproducibility

Utube Publisher

The Roman Colosseum hosted actual naval battles! Beyond the gladiatorial contests, discover the astonishing engineering that allowed for these aquatic spectacles, and how every seat in this architectural wonder reflected Rome's rigid social hierarchy. It's more than just ruins – it's a testament to ancient genius.

Read the full story:
utubepublisher.in/2025/06/roma

#RomanEmpire#ColosseumHistory#AncientEngineering
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Aurélien Bellet

This article does a great job highlighting why DOGE is taking over the federal government so easily: federal systems centralize massive amounts of sensitive data, making them highly vulnerable to insider threats. The article concludes by pointing out that techniques like and could help build more resilient systems 👏

nytimes.com/2025/02/21/opinion

The New York Times · Opinion | Here Are the Digital Clues to What Musk Is Really Up ToBy Zeynep Tufekci
Datarainbow Privacy Assistant✅

#FL #FederatedLearning #Data #Ethics "Although FL removes the option of stealing the data from a central database, it does not give any formal guarantees against re-identification. Numerous studies have shown that it is possible to reverse engineer privacy-sensitive data from the model information that is shared in FL. Thus, the term ‘privacy-preserving’ is not entirely appropriate for FL." #privacy #federatedlearning #AIEthics #LLM nature.com/articles/s42256-024

NatureFederated learning is not a cure-all for data ethics - Nature Machine IntelligenceAlthough federated learning is often seen as a promising solution to allow AI innovation while addressing privacy concerns, we argue that this technology does not fix all underlying data ethics concerns. Benefiting from federated learning in digital health requires acknowledgement of its limitations.
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Johannes Lotz

Project announcement 🏗️: "PROSurvival" builds a collaborative federated learning framework to predict survival in prostate cancer patients.

Partners are OFFIS - Institute for Information Technology, Charité, Goethe University Frankfurt, and Fraunhofer MEVIS.

Here's the gist: In the long run, we want to find predictive image features that can be identified in tissue sections from routine diagnostics.

#federatedlearning #ai #foundationmodels #ComputationalPathology

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Cyberagentur

Freuen Sie sich: Dr. Daniel Gille von der @Cyberagentur auf dem Online-Symposium „Federated Learning & ML Security“ am 27.03.24! Sein Thema "Machine Learning & IT-Security – Forschungsbedarfe für die Innere und Äußere Sicherheit".
Spannende Diskussion beim #MANTRASymposium: Wie können wir die #ITSicherheit von #FederatedLearning verbessern?
Anmelden: #FLMLSec2024: t1p.de/bipwu
Mehr: t1p.de/rit9d
#Lösungsansätze #KI #ML #Cybersicherheit #KI #ML #ITSicherheit #DataScience

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