Sayan Biswas
EPFL IC IINFCOM SACS
BC 166 (Bâtiment BC)
Station 14
1015 Lausanne
Web site: Web site: https://www.epfl.ch/labs/sacs/
Fields of expertise
Differential Privacy, Federated Learning, Privacy-Preserving Machine Learning, Location-Privacy
Biography
I am currently a Postdoctoral Researcher at the SaCS lab at EPFL. I completed my PhD in Computer Science at INRIA and École Polytechnique in France, under the supervision of Catuscia Palamidessi. Previously, I have been a Visiting Scholar at the School of Computing at Macquarie University in Sydney, Australia, collaborating with Annabelle McIiver and Natasha Fernandes, and at WMG, the University of Warwick in Coventry, England, working with Carsten Maple and Graham Cormode.My work primarily involves designing privacy-preserving techniques for analysing data and training models, with a focus on investigating and enhancing the trade-off between privacy and utility from a foundational perspective. In particular, my current research interests hover around Differential Privacy, Federated Learning, Decentralised Learning, and, in general, Privacy-Preserving Machine Learning. Occasionally, I also get fascinated by (and end up working on) Location Privacy.
Education
PhD in Computer Science
École Polytechnique and Institut Polytechnique de Paris (France)
2020-2023
Master of Mathematics (first-class honours)
University of Bath (England)
2016-2020