A5010541257- Privacy-Preserving Technologies in Data
- Artificial Intelligence in Healthcare and Education
- Diverse Legal and Medical Studies
- Ethics in Clinical Research
- Digital Rights Management and Security
- Psychology, Coaching, and Therapy
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Sociology and Education Studies
- Cryptography and Data Security
- European and International Contract Law
- Stochastic Gradient Optimization Techniques
- Digitalization, Law, and Regulation
University of Southern Denmark
2023
Universität Hamburg
2023
Background Machine learning and artificial intelligence have shown promising results in many areas are driven by the increasing amount of available data. However, these data often distributed across different institutions cannot be easily shared owing to strict privacy regulations. Federated (FL) allows training machine models without sharing sensitive In addition, implementation is time-consuming requires advanced programming skills complex technical infrastructures. Objective Various tools...
Machine Learning (ML) and Artificial Intelligence (AI) have shown promising results in many areas are driven by the increasing amount of available data. However, this data is often distributed across different institutions cannot be shared due to privacy concerns. Privacy-preserving methods, such as Federated (FL), allow for training ML models without sharing sensitive data, but their implementation time-consuming requires advanced programming skills. Here, we present FeatureCloud AI Store...
Die besondere Rechtsnatur virtueller Währungen führt zu Problemen bei der Subsumtion unter bestehende Regelungen. Teils hat Gesetzgeber die Lücken durch eine Erweiterung des Anwendungsbereichs FM-GwG bereits geschlossen. Der Beitrag beleuchtet diese Maßnahme sowie Frage nach einer möglichen von Handelsplattformen und Hot Wallet Providern das Bankwesengesetz. Daneben wurden, ob fehlenden Nachverfolgungsmöglichkeiten Transaktionen innerhalb anonymer Kryptowährungen, Forderungen Handelsverboten...
<sec> <title>BACKGROUND</title> Machine learning and artificial intelligence have shown promising results in many areas are driven by the increasing amount of available data. However, these data often distributed across different institutions cannot be easily shared owing to strict privacy regulations. Federated (FL) allows training machine models without sharing sensitive In addition, implementation is time-consuming requires advanced programming skills complex technical infrastructures....