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...
are vertical edges in the graph. These can be seen as controlled-phase gates between logical qubits which occur when both logical qubits have been propagated onto the vertices linked by a vertical edge. Measurement of the rightmost qubit in each row corresponds to a measurement of the final sta...
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 ...