Rishi Sharma
  • Bio
  • Updates
  • Papers
  • Talks
  • Experience
  • Experience
    • Invited Talks
      • Decentralized Systems for Machine Learning
      • Decentralized Systems for Machine Learning
      • Scalability of Prolog: Real-world logic applications
      • Adversarial training for blind-spot removal
    • Posts
      • ✈️ Wrapped up my Research Visit at the MIT Media Lab.
      • 🎉 Incoming Research Intern at Microsoft Research Cambridge, UK 🇬🇧.
      • 🎉 Our paper "Low-Cost Privacy-Aware Decentralized Learning" has been accepted for publication in the Proceedings on Privacy Enhancing Technologies 2025.
      • 🤖 We hosted the first MIT Decentralized AI Hackathon. 🤖
      • 🎉 Our paper "Boosting Asynchronous Decentralized Learning with Model Fragmentation" has been accepted for publication in the ACM Web Conference 2025.
      • 🎉 Our paper "Fair Decentralized Learning" has been accepted for publication in the IEEE SaTML 2025.
      • ✈️ Starting my Research Visit at the MIT Media Lab.
      • 🎉 Our paper "Revisiting Ensembling in One-Shot Federated Learning" has been accepted for publication at NeurIPS 2024.
      • 🎉 Our paper "Noiseless Privacy-Preserving Decentralized Learning" has been accepted for publication in the Proceedings on Privacy Enhancing Technologies 2025.
      • 🎉 I received the Doc.Mobility Grant 2024 at EPFL.
      • The Grad School Applications
      • ✈️ Starting my Ph.D. at EPFL.
      • Simplifying Differentiation using Directed Acyclic Graphs
    • Publications
      • Boosting Resource-Constrained Federated Learning Systems with Guessed Updates
      • Noiseless Privacy-Preserving Decentralized Learning
      • Low-Cost Privacy-Preserving Decentralized Learning
      • Boosting Asynchronous Decentralized Learning with Model Fragmentation
      • Fair Decentralized Learning
      • Practical Federated Learning without a Server
      • Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster
      • Revisiting Ensembling in One-Shot Federated Learning
      • Energy-Aware Decentralized Learning with Intermittent Model Training
      • Epidemic Learning: Boosting Decentralized Learning with Randomized Communication
      • Get More for Less in Decentralized Learning Systems
      • Decentralized Learning Made Easy with DecentralizePy
      • ZS3: Marrying Static Analyzers and Constraint Solvers to Parallelize Loops in Managed Runtimes

    On this page

      · 1 min read

      • 2025: PC@TMLR; PC@NeurIPS'25; PC @CFAgentic@ICML'25;
      • 2024: PC@NeurIPS'24(Top Reviewer);
      • Assistant Reviewer: OSDI'24; NETYS'24; SRDS'23;
      Last updated on May 1, 2025
      ← Experience Mar 2, 2025

      © 2025 Rishi Sharma. This work is licensed under CC BY NC ND 4.0

      Published with Hugo Blox Builder — the free, open source website builder that empowers creators.