Robust Learning Protocol for Federated Tumor Segmentation Challenge

no code implementations • 16 Dec 2022 • Ambrish Rawat, Giulio Zizzo, Swanand Kadhe, Jonathan P. Epperlein, Stefano Braghin

In this work, we devise robust and efficient learning protocols for orchestrating a Federated Learning (FL) process for the Federated Tumor Segmentation Challenge (FeTS 2022).

Federated Learning Tumor Segmentation

Diffprivlib: The IBM Differential Privacy Library

1 code implementation • 4 Jul 2019 • Naoise Holohan, Stefano Braghin, Pól Mac Aonghusa, Killian Levacher

Since its conception in 2006, differential privacy has emerged as the de-facto standard in data privacy, owing to its robust mathematical guarantees, generalised applicability and rich body of literature.

Predicting User Engagement in Twitter with Collaborative Ranking

no code implementations • 26 Dec 2014 • Ernesto Diaz-Aviles, Hoang Thanh Lam, Fabio Pinelli, Stefano Braghin, Yiannis Gkoufas, Michele Berlingerio, Francesco Calabrese

Collaborative Filtering (CF) is a core component of popular web-based services such as Amazon, YouTube, Netflix, and Twitter.

Collaborative Filtering Collaborative Ranking +1