Decentralized Learning Algorithms: A Systems View

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Explores trust, privacy, visual protection, social media models, and blockchain technology.

Explores privacy importance, PETS, anti-surveillance technologies, and the SwissCovid case study.

Explores data representation, databases, cloud computing, and challenges in the cloud environment.

Explores machine learning fundamentals and privacy risks, focusing on privacy attacks and collaborative machine learning.

Introduces the MUK on technology, digital transformation, and humanitarian action, emphasizing responsible technology use in the humanitarian sector.

Delves into privacy-preserving federated analytics for personalized medicine, discussing challenges, solutions, and real-world applications.

Explores information security in communication, calculation, and digital threats, emphasizing data protection and access control.

Explores privacy risks in data publishing, failed de-identification attempts, and the use of synthetic data for privacy protection.

Explores location privacy risks, defense methods, challenges, and unique location identification.

Explores risks and techniques in de-anonymizing data, including flaws in methods and real-world examples of failed attempts.