Expressive variational quantum circuits provide inherent privacy in federated learning

no code implementations • 22 Sep 2023 • Niraj Kumar, Jamie Heredge, Changhao Li, Shaltiel Eloul, Shree Hari Sureshbabu, Marco Pistoia

However, standard neural network-based federated learning models have been shown to be susceptible to data leakage from the gradients shared with the server.

Federated Learning Quantum Machine Learning

Topical: Learning Repository Embeddings from Source Code using Attention

1 code implementation • 19 Aug 2022 • Agathe Lherondelle, Varun Babbar, Yash Satsangi, Fran Silavong, Shaltiel Eloul, Sean Moran

This paper presents Topical, a novel deep neural network for repository level embeddings.

Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies

no code implementations • 26 Apr 2022 • Shaltiel Eloul, Fran Silavong, Sanket Kamthe, Antonios Georgiadis, Sean J. Moran

We show that otherwise it is possible to directly recover all vectors in a mini-batch without any numerical optimisation due to the de-mixing nature of the cross entropy loss.

Federated Learning