Sayan Biswas
Scholar

Sayan Biswas

Google Scholar ID: PqfgluAAAAAJ
Postdoctoral Researcher at EPFL
Differential PrivacyFederated LearningDecentralized LearningInformation Theory
Citations & Impact
All-time
Citations
105
 
H-index
6
 
i10-index
5
 
Publications
20
 
Co-authors
31
list available
Contact
Resume (English only)
Academic Achievements
  • - Published multiple papers including 'Mitigating Membership Inference Vulnerability in Iterative Federated Clustering Algorithm', 'Robust ML Auditing using Prior Knowledge', 'Low-Cost Privacy-Aware Decentralized Learning', 'Boosting Asynchronous Decentralized Learning with Model Fragmentation', 'Fair Decentralized Learning', and 'Noiseless Privacy-Preserving Decentralized Learning'
  • - Papers accepted in various international conferences such as ACM Conference on Computer and Communications Security (CCS), International Conference on Machine Learning (ICML), Privacy Enhancing Technologies Symposium (PoPETs), ACM Web Conference (WWW), and IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)
Research Experience
  • - Postdoctoral Researcher at the Scalable Computing Systems (SaCS) lab at EPFL, led by Prof. Anne-Marie Kermarrec
  • - Visiting Scholar at the School of Computing at Macquarie University, Sydney, Australia, hosted by Prof. Annabelle McIver and Dr. Natasha Fernandes
  • - Visiting Scholar at WMG at the University of Warwick, Coventry, England, hosted by Prof. Carsten Maple and Prof. Graham Cormode
Education
  • - Ph.D. in Computer Science, INRIA and École Polytechnique, France, supervised by Prof. Catuscia Palamidessi
  • - M.Math (First-Class Honours), University of Bath, UK
Background
  • Research interests include designing secure and trustworthy distributed systems for analyzing data and training machine learning models in decentralized frameworks. Current research interests revolve around decentralized learning, federated learning, and trustworthy distributed systems, with a particular emphasis on aspects of privacy, fairness, and personalization.
Miscellany
  • Spends most of the time studying, talking, and doing mathematics; otherwise, typically immersed in techno music, chess, cricket, philosophy, puzzles, or stand-up comedy. Recently rekindled love for non-academic reading and has become a collector of seemingly useless facts from all corners of life. Trying to learn French with limited success so far.