Person

David Jules Froelicher

I am a research assistant and PhD student under the supervision of Prof. Jean-Pierre Hubaux at the Laboratory for Communications and Applications (LCA1) and Bryan Ford at the Decentralized and Distributed Systems Laboratory (DeDiS), at the Ecole Polytechnique Fédérale de Lausanne (EPFL). I earned my MSc and BSc in Computer Science with a specialisation in IT Security from EPFL in 2016. In 2015, I did a master thesis internship in the NEC research laboratory in Heidelberg, Germany, where I have been involved in the design and implementation of a system enabling proofs of retrievability on deduplicate data. I am currently working on privacy-preserving data sharing by relying on homomorphic encryption, differential privacy, distributed systems and blockchain technologies.

Official source

https://people.epfl.ch/david.froelicher

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Related publications (11)

Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.

David Jules Froelicher

Graph Chatbot

Scalable and Privacy-Preserving Federated Principal Component Analysis

System and method for privacy-preserving distributed training of neural network models on distributed datasets

Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation

Scalable and Privacy-Preserving Federated Principal Component Analysis

System and method for privacy-preserving distributed training of neural network models on distributed datasets

Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation