Federated learning is an emerging machine learning approach that allows the construction of a model between several participants who hold their own private data. This method is secure and privacy-preserving, suitable for training a machine learning model using sensitive data from different sources, such...
Mastodon I won’t go into the details of federated social and how Mastodon is structured. Instead, I want to talk about what it feels like and what it inspires. Using Mastodon is like going back to the early days of social. I was a big fan of FriendFeed, a social platform that most...
A multifaceted survey on privacy preservation of federated learning: progress, challenges, and opportunities Sanchita Saha Ashlesha Hota Sukumar Nandi Artificial Intelligence Review(2024) Leveraging Grover’s Algorithm for Quantum Searchable Encryption in Cloud Infrastructure and its application in AES Resourc...
One of the first initiatives was an experimental tracking feature, Federated Learning of Cohorts (FLoC), which enables interest-based advertising by creating user profiles or “cohorts” without revealing user identities. Recently, Topics, an initiative to preserve privacy while allowing publishers to ...