no code implementations • 14 Feb 2024 • Yannis Kalantidis, Mert Bülent Sarıyıldız, Rafael S. Rezende, Philippe Weinzaepfel, Diane Larlus, Gabriela Csurka
After expanding the training set, we propose a training approach that leverages the specificities and the underlying geometry of this mix of real and synthetic images.
1 code implementation • 27 Aug 2019 • Mert Bülent Sarıyıldız, Ramazan Gökberk Cinbiş, Erman Ayday
Collaborative learning techniques provide a privacy-preserving solution, by enabling training over a number of private datasets that are not shared by their owners.
no code implementations • ICLR 2018 • Mert Bülent Sarıyıldız, Ramazan Gökberk Cinbiş, Erman Ayday
To the best of our knowledge, the proposed approach is the first collaborative learning formulation that effectively tackles an active adversary, and, unlike model corruption or differential privacy formulations, our approach does not inherently feature a trade-off between model accuracy and data privacy.