Sayan Biswas

Expertise Decentralized Machine Learning and Federated Learning focusing on Privacy, Fairness, and Personalization; Secure and Trustworthy Distributed Systems; Differential Privacy; Location Privacy. Sayan Biswas (CV) is a Postdoctoral Researcher in the Scalable Computing Systems (SaCS) lab at EPFL, Switzerland, led by Prof. Anne-Marie Kermarrec. He completed his PhD in Computer Science at INRIA and école Polytechnique in France, under the supervision of Prof. Catuscia Palamidessi. Prior to that, Sayan studied mathematics at the University of Bath in the UK where he obtained his Master of Mathematics (M.Math) with a First-Class Honours. During his PhD, Sayan has been a Visiting Scholar at the School of Computing at Macquarie University in Sydney, Australia (hosted by Prof. Annabelle McIver and Dr. Natasha Fernandes) and at WMG at The University of Warwick in Coventry, England (hosted by Prof. Carsten Maple and Prof. Graham Cormode).Sayan's research primarily centres on designing secure and trustworthy distributed systems for analysing data and training ML models in decentralized frameworks. His current research interests revolve around decentralized learning, federated learning, and trustworthy distributed systems, with a particular emphasis on aspects of privacy, fairness, and personalization. Education PhD in Computer Science | 2020 – 2023 École Polytechnique and Institut Polytechnique de Paris (France) Master of Mathematics (first-class honours) | 2016 – 2020 University of Bath (England)