Rishi Sharma

According to our database, Rishi Sharma authored at least 24 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

Mosaic Learning: A Framework for Decentralized Learning with Model Fragmentation.

Sayan Biswas, Davide Frey, Romaric Gaudel, Nirupam Gupta, Anne-Marie Kermarrec, Dimitri Lerévérend, Rafael Pires, Rishi Sharma, François Taïani, Martijn de Vos

CoRR, February, 2026

Optimizing Agentic Workflows using Meta-tools.

Sami Abuzakuk, Anne-Marie Kermarrec, Rishi Sharma, Rasmus Moorits Veski, Martijn de Vos

CoRR, January, 2026

Orbit: Efficient Agentic Inference using Priority Scheduling.

Sami Abuzakuk, Anne-Marie Kermarrec, Palak, Rafael Pires, Rishi Sharma, Martijn de Vos

Proceedings of the Sixth European Workshop on Machine Learning and Systems, EuroMLSys 2026, 2026

2025

Boosting Resource-Constrained Federated Learning Systems With Guessed Updates.

Mohamed Yassine Boukhari, Akash Balasaheb Dhasade, Anne-Marie Kermarrec, Rafael Pires, Othmane Safsafi, Rishi Sharma

IEEE Trans. Parallel Distributed Syst., August, 2025

HarMoEny: Efficient Multi-GPU Inference of MoE Models.

Zachary Doucet, Rishi Sharma, Martijn de Vos, Rafael Pires, Anne-Marie Kermarrec, Oana Balmau

CoRR, June, 2025

Collaborative Agentic AI Needs Interoperability Across Ecosystems.

Rishi Sharma, Martijn de Vos, Pradyumna Chari, Ramesh Raskar, Anne-Marie Kermarrec

CoRR, May, 2025

Low-Cost Privacy-Preserving Decentralized Learning.

Sayan Biswas, Davide Frey, Romaric Gaudel, Anne-Marie Kermarrec, Dimitri Lerévérend, Rafael Pires, Rishi Sharma, François Taïani

Proc. Priv. Enhancing Technol., 2025

Noiseless Privacy-Preserving Decentralized Learning.

Sayan Biswas, Mathieu Even, Anne-Marie Kermarrec, Laurent Massoulié, Rafael Pires, Rishi Sharma, Martijn de Vos

Proc. Priv. Enhancing Technol., 2025

Boosting Asynchronous Decentralized Learning with Model Fragmentation.

Sayan Biswas, Anne-Marie Kermarrec, Alexis Marouani, Rafael Pires, Rishi Sharma, Martijn de Vos

Proceedings of the ACM on Web Conference 2025, 2025

Fair Decentralized Learning.

Sayan Biswas, Anne-Marie Kermarrec, Rishi Sharma, Trinca Thibaud, Martijn de Vos

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2025

SONAR Web: A Platform-Agnostic Framework for Real-Time Decentralized Learning Across Heterogeneous Edge Clients.

Joyce Yuan, Brian Le, Kathryn Le, Yichuan Shi, Abhishek Singh, Rishi Sharma, Angel Patricio, Ramesh Raskar

Proceedings of the Federated Learning and Edge AI for Privacy and Mobility, 2025

Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster.

Marie Reinbigler, Rishi Sharma, Rafael Pires, Elisabeth Brunet, Anne-Marie Kermarrec, Catalin I. Fetita

Proceedings of the Euro-Par 2025: Parallel Processing, 2025

Practical Federated Learning without a Server.

Akash Balasaheb Dhasade, Anne-Marie Kermarrec, Erick Lavoie, Johan Pouwelse, Rishi Sharma, Martijn de Vos

Proceedings of the 5th Workshop on Machine Learning and Systems, 2025

2024

Secure Aggregation Meets Sparsification in Decentralized Learning.

Sayan Biswas, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic

CoRR, 2024

Beyond Noise: Privacy-Preserving Decentralized Learning with Virtual Nodes.

Sayan Biswas, Mathieu Even, Anne-Marie Kermarrec, Laurent Massoulié, Rafael Pires, Rishi Sharma, Martijn de Vos

CoRR, 2024

Low-Cost Privacy-Aware Decentralized Learning.

Sayan Biswas, Davide Frey, Romaric Gaudel, Anne-Marie Kermarrec, Dimitri Lerévérend, Rafael Pires, Rishi Sharma, François Taïani

CoRR, 2024

Revisiting Ensembling in One-Shot Federated Learning.

Youssef Allouah, Akash Balasaheb Dhasade, Rachid Guerraoui, Nirupam Gupta, Anne-Marie Kermarrec, Rafael Pinot, Rafael Pires, Rishi Sharma

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Energy-Aware Decentralized Learning with Intermittent Model Training.

Martijn de Vos, Akash Balasaheb Dhasade, Paolo Dini, Elia Guerra, Anne-Marie Kermarrec, Marco Miozzo, Rafael Pires, Rishi Sharma

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023

Epidemic Learning: Boosting Decentralized Learning with Randomized Communication.

Martijn de Vos, Sadegh Farhadkhani, Rachid Guerraoui, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Get More for Less in Decentralized Learning Systems.

Akash Balasaheb Dhasade, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic, Jeffrey Wigger

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Decentralized Learning Made Easy with DecentralizePy.

Akash Balasaheb Dhasade, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic

Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023

2022

Can We Run in Parallel? Automating Loop Parallelization for TornadoVM.

Rishi Sharma, Shreyansh Kulshreshtha, Manas Thakur

CoRR, 2022

ZS3: Marrying Static Analyzers and Constraint Solvers to Parallelize Loops in Managed Runtimes.

Rishi Sharma, Shreyansh Kulshreshtha, Manas Thakur

Proceedings of the 32nd Annual International Conference on Computer Science and Software Engineering, 2022

2020

An Online Low-Cost System for Air Quality Monitoring, Prediction, and Warning.

Rishi Sharma, Tushar Saini, Praveen Kumar, Ankush Pathania, Khyathi Chitineni, Pratik Chaturvedi, Varun Dutt

Proceedings of the Distributed Computing and Internet Technology, 2020