Scholar
Rishi Sharma
Google Scholar ID: jUfDXOsAAAAJ
PhD Student, École Polytechnique Fédérale de Lausanne (EPFL)
Citations & Impact
Citations
116
H-index
5
i10-index
3
Publications
20
Co-authors
0
Publications
Resume
Academic Achievements
- Papers Published: 'Low-Cost Privacy-Aware Decentralized Learning' accepted for publication in Proceedings on Privacy Enhancing Technologies 2025.3; 'Boosting Asynchronous Decentralized Learning with Model Fragmentation' accepted for oral presentation at ACM Web Conference 2025; 'Fair Decentralized Learning' accepted for IEEE SaTML 2025; 'Revisiting Ensembling in One-Shot Federated Learning' accepted as a poster at NeurIPS 2024; 'Noiseless Privacy-Preserving Decentralized Learning' accepted for publication in Proceedings on Privacy Enhancing Technologies 2025.1; Received Doc.Mobility Grant 2024 from EPFL.
Research Experience
- Summer 2025 Research Intern at Microsoft Research Cambridge, working on deterministic security guardrails for autonomous AI agents; Recently completed a research visit at the Camera Culture Group of the MIT Media Lab, supervised by Prof. Ramesh Raskar, focusing on enabling collaborative AI in open decentralized networks.
Education
- Ph.D. in Computer Science, École Polytechnique Fédérale de Lausanne (EPFL); Visiting Ph.D. in Computer Science, Massachusetts Institute of Technology (MIT); B.Tech. in Computer Science and Engineering, Indian Institute of Technology (IIT) Mandi; Exchange Student in Computer Science, RWTH Aachen University.
Background
- Research Interests: Distributed Systems, Artificial Intelligence, Machine Learning, Decentralized Learning, Privacy and Security. Professional Field: Computer Science. Bio: Rishi Sharma is a Ph.D. candidate at the Scalable Computing Systems Lab at EPFL, under the supervision of Prof. Anne-Marie Kermarrec. His research focuses on designing efficient and privacy-preserving systems for Decentralized and Federated Learning.
Miscellany
- Personal Interests: Not explicitly mentioned.