Publications

Sayan Biswas, Mathieu Even, Anne-Marie Kermarrec, Laurent Massoulié, Rafael Pires, Rishi Sharma, Martijn de Vos (2025). Noiseless Privacy-Preserving Decentralized Learning. (To appear) In PETS ‘25.

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Youssef Allouah, Akash Dhasade, Rachid Guerraoui, Nirupam Gupta, Anne-Marie Kermarrec, Rafael Pinot, Rafael Pires, Rishi Sharma (2024). Revisiting Ensembling in One-Shot Federated Learning. (To appear) In NeurIPS ‘24.

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Martijn de Vos, Akash Dhasade, Paolo Dini, Elia Guerra, Anne-Marie Kermarrec, Marco Miozzo, Rafael Pires, Rishi Sharma (2024). Energy-Aware Decentralized Learning with Intermittent Model Training. In IPDPSW ‘24.

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Martijn de Vos, Sadegh Farhadkhani, Rachid Guerraoui, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma (2023). Epidemic Learning: Boosting Decentralized Learning with Randomized Communication. In NeurIPS ‘23.

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Akash Dhasade, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic, Jeffrey Wigger (2023). Get More for Less in Decentralized Learning Systems. In ICDCS ‘23.

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Akash Dhasade, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic (2023). Decentralized Learning Made Easy with DecentralizePy. In EuroMLSys ‘23.

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Rishi Sharma, Shreyansh Kulshreshtha, Manas Thakur (2022). ZS3: Marrying Static Analyzers and Constraint Solvers to Parallelize Loops in Managed Runtimes. In CASCON ‘22.

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Shreyansh Kulshreshtha, Rishi Sharma, Manas Thakur (2021). Can we run in parallel? Automating Loop Parallelization for TornadoVM. Poster in ISSTA ‘21.

Poster Abstract

Rishi Sharma, Tushar Saini, Praveen Kumar, Ankush Pathania, Khyathi Chitineni, Pratik Chaturvedi, Varun Dutt (2019). An Online Low-Cost System for Air Quality Monitoring, Prediction, and Warning . In ICDCIT ‘20.

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