US<p><a href="https://www.europesays.com/us/30960/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">europesays.com/us/30960/</span><span class="invisible"></span></a> Leveraging federated learning and edge computing for pandemic-resilient healthcare <a href="https://pubeurope.com/tags/ComputationalScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalScience</span></a> <a href="https://pubeurope.com/tags/ComputerScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputerScience</span></a> <a href="https://pubeurope.com/tags/Computing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Computing</span></a> <a href="https://pubeurope.com/tags/ContactTracing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ContactTracing</span></a> <a href="https://pubeurope.com/tags/CyberAttack" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CyberAttack</span></a> <a href="https://pubeurope.com/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepLearning</span></a> <a href="https://pubeurope.com/tags/DeepTransferLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepTransferLearning</span></a> <a href="https://pubeurope.com/tags/EdgeComputing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EdgeComputing</span></a> <a href="https://pubeurope.com/tags/Epidemiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Epidemiology</span></a> <a href="https://pubeurope.com/tags/Facemask" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Facemask</span></a> <a href="https://pubeurope.com/tags/FederatedLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FederatedLearning</span></a> <a href="https://pubeurope.com/tags/HumanitiesAndSocialSciences" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HumanitiesAndSocialSciences</span></a> <a href="https://pubeurope.com/tags/multidisciplinary" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>multidisciplinary</span></a> <a href="https://pubeurope.com/tags/Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Science</span></a> <a href="https://pubeurope.com/tags/SocialDistancing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SocialDistancing</span></a> <a href="https://pubeurope.com/tags/Technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Technology</span></a> <a href="https://pubeurope.com/tags/UnitedStates" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnitedStates</span></a> <a href="https://pubeurope.com/tags/UnitedStates" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnitedStates</span></a> <a href="https://pubeurope.com/tags/US" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>US</span></a></p>
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#federatedlearning
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TANGO EU<p>💡 Building trustworthy, privacy-aware and energy-efficient AI systems.<br>From Federated Learning to MLOps, from XAI to TornadoVM, WP5 is where innovation meets responsibility.</p><p>👉 Dive into the full interview to explore the tools, lessons, and insights shaping the AI backbone of TANGO:<br>📖 <a href="https://tango-project.eu/articles/tango-wp-leaders-interview-series-wp5-ai-based-framework-green-trustworthy-operations" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">tango-project.eu/articles/tang</span><span class="invisible">o-wp-leaders-interview-series-wp5-ai-based-framework-green-trustworthy-operations</span></a></p><p><a href="https://mastodon.social/tags/TANGOproject" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TANGOproject</span></a> <a href="https://mastodon.social/tags/HorizonEU" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HorizonEU</span></a> <a href="https://mastodon.social/tags/GreenAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GreenAI</span></a> <a href="https://mastodon.social/tags/FrugalAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FrugalAI</span></a> <a href="https://mastodon.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MLOps</span></a> <a href="https://mastodon.social/tags/FederatedLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FederatedLearning</span></a> <a href="https://mastodon.social/tags/AIethics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIethics</span></a> <a href="https://mastodon.social/tags/SustainableTech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SustainableTech</span></a> <a href="https://mastodon.social/tags/DataSpaces" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataSpaces</span></a></p>
Byzzyy ✅<p><a href="https://chaos.social/tags/FederatedLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FederatedLearning</span></a> <a href="https://chaos.social/tags/FL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FL</span></a>, a decentralised <a href="https://chaos.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> approach, enables banks to gain insights into customer behaviour without centralising sensitive data. This technology, while challenging to implement, offers personalised services, improved fraud detection, and accurate risk assessment.</p><p>While this is good for banks, it also opens interesting perspectives also in <a href="https://chaos.social/tags/InternationalCooperations" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>InternationalCooperations</span></a> handling of data! ... <a href="https://blog.locational.network/2025/04/14/065500.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">blog.locational.network/2025/0</span><span class="invisible">4/14/065500.html</span></a></p>
Aurélien Bellet<p>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 <a href="https://sigmoid.social/tags/FederatedLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FederatedLearning</span></a> and <a href="https://sigmoid.social/tags/DifferentialPrivacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DifferentialPrivacy</span></a> could help build more resilient systems 👏 <a href="https://sigmoid.social/tags/Privacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Privacy</span></a> <a href="https://sigmoid.social/tags/CyberSecurity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CyberSecurity</span></a></p><p><a href="https://www.nytimes.com/2025/02/21/opinion/musk-doge-personal-data.html?unlocked_article_code=1.yk4.ioNW.2SNQKCzmcCwR" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">nytimes.com/2025/02/21/opinion</span><span class="invisible">/musk-doge-personal-data.html?unlocked_article_code=1.yk4.ioNW.2SNQKCzmcCwR</span></a></p>
Aurélien Bellet<p>Time for a proper <a href="https://sigmoid.social/tags/introduction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>introduction</span></a>! 👋 I'm a <a href="https://sigmoid.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> researcher at Inria, France, focusing on <a href="https://sigmoid.social/tags/TrustworthyAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TrustworthyAI</span></a>—especially <a href="https://sigmoid.social/tags/decentralization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>decentralization</span></a> & <a href="https://sigmoid.social/tags/privacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>privacy</span></a>. I design algorithms that learn from <a href="https://sigmoid.social/tags/decentralized" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>decentralized</span></a> data (<a href="https://sigmoid.social/tags/FederatedLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FederatedLearning</span></a>) without memorizing personal data (<a href="https://sigmoid.social/tags/DifferentialPrivacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DifferentialPrivacy</span></a>), working toward putting <a href="https://sigmoid.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a> & <a href="https://sigmoid.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> back in people's hands. Maybe one day, these ideas could be used in the <a href="https://sigmoid.social/tags/Fediverse" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Fediverse</span></a>!</p>
Datarainbow Privacy Assistant✅<p><a href="https://mastodon.online/tags/FL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FL</span></a> <a href="https://mastodon.online/tags/FederatedLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FederatedLearning</span></a> <a href="https://mastodon.online/tags/Data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Data</span></a> <a href="https://mastodon.online/tags/Ethics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Ethics</span></a> "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." <a href="https://mastodon.online/tags/privacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>privacy</span></a> <a href="https://mastodon.online/tags/federatedlearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>federatedlearning</span></a> <a href="https://mastodon.online/tags/AIEthics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIEthics</span></a> <a href="https://mastodon.online/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://www.nature.com/articles/s42256-024-00813-x" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">nature.com/articles/s42256-024</span><span class="invisible">-00813-x</span></a></p>
Hasso Plattner Institute<p>Herzlichen Glückwunsch!👏 Für seine Arbeit im Bereich <a href="https://hpi.social/tags/DigitalHealth" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DigitalHealth</span></a> hat Bjarne Pfitzner auf der Fachkonferenz <a href="https://hpi.social/tags/AIMHC" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIMHC</span></a> in der Nähe von Los Angeles den Best Student Paper Award erhalten. Bjarne ist Doktorand am Fachgebiet "DigitalHealth – Connected Healthcare" am HPI. </p><p>In seinem Paper, das in Kollaboration mit Partnern an der <span class="h-card"><a href="https://wisskomm.social/@ChariteBerlin" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>ChariteBerlin</span></a></span> entstanden ist, beschäftigt er sich mit <a href="https://hpi.social/tags/FederatedLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FederatedLearning</span></a> in der <a href="https://hpi.social/tags/Medizin" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Medizin</span></a>. </p><p>💡 Was er genau erforscht hat, erfahrt ihr unter: <a href="https://hpi.de/news/jahrgaenge/2024/best-student-paper-award-fuer-bjarne-pfitzner.html" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hpi.de/news/jahrgaenge/2024/be</span><span class="invisible">st-student-paper-award-fuer-bjarne-pfitzner.html</span></a></p>
Cyberagentur<p>Freuen Sie sich: Dr. Daniel Gille von der <span class="h-card" translate="no"><a href="https://social.bund.de/@Cyberagentur" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>Cyberagentur</span></a></span> 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".<br>Spannende Diskussion beim <a href="https://social.bund.de/tags/MANTRASymposium" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MANTRASymposium</span></a>: Wie können wir die <a href="https://social.bund.de/tags/ITSicherheit" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ITSicherheit</span></a> von <a href="https://social.bund.de/tags/FederatedLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FederatedLearning</span></a> verbessern? <br>Anmelden: <a href="https://social.bund.de/tags/FLMLSec2024" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FLMLSec2024</span></a>: <a href="https://t1p.de/bipwu" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">t1p.de/bipwu</span><span class="invisible"></span></a><br>Mehr: <a href="https://t1p.de/rit9d" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">t1p.de/rit9d</span><span class="invisible"></span></a><br><a href="https://social.bund.de/tags/L%C3%B6sungsans%C3%A4tze" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Lösungsansätze</span></a> <a href="https://social.bund.de/tags/KI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KI</span></a> <a href="https://social.bund.de/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> <a href="https://social.bund.de/tags/Cybersicherheit" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Cybersicherheit</span></a> <a href="https://social.bund.de/tags/KI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KI</span></a> <a href="https://social.bund.de/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> <a href="https://social.bund.de/tags/ITSicherheit" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ITSicherheit</span></a> <a href="https://social.bund.de/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a></p>
Simone van der Hof<p>EDPS Techsonar report 2022 on federated learning, metaverse, fake news detection systems, synthetic data and central bank digital currency. The aim is to “monitor relevant developments, insofar as they have an impact on the protection of personal data”. The report is short and sweet with suggestions for further reading. </p><p><a href="https://edps.europa.eu/system/files/2022-11/22-11-10_techsonar_report_22_23_en.pdf" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">edps.europa.eu/system/files/20</span><span class="invisible">22-11/22-11-10_techsonar_report_22_23_en.pdf</span></a></p><p><a href="https://eupolicy.social/tags/dataprotection" class="mention hashtag" rel="tag">#<span>dataprotection</span></a> <a href="https://eupolicy.social/tags/metaverse" class="mention hashtag" rel="tag">#<span>metaverse</span></a> <a href="https://eupolicy.social/tags/syntheticdata" class="mention hashtag" rel="tag">#<span>syntheticdata</span></a> <a href="https://eupolicy.social/tags/digitalcurrency" class="mention hashtag" rel="tag">#<span>digitalcurrency</span></a> <a href="https://eupolicy.social/tags/federatedlearning" class="mention hashtag" rel="tag">#<span>federatedlearning</span></a> <a href="https://eupolicy.social/tags/fakenews" class="mention hashtag" rel="tag">#<span>fakenews</span></a></p>
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