Publications

20 publications. Also on Google Scholar.

Selected only

Communication-Efficient Secure Aggregation in Decentralized Learning

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

International Symposium on Reliable Distributed Systems (SRDS) · 2026

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Position: Collaborative Agentic AI Needs Interoperability Across Ecosystems

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

International Conference on Machine Learning (ICML), Position Paper Track · 2026

PDF Code DOI OpenReview

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

PDF DOI ACM Digital Library

SONAR: Benchmarking Topology and Collaboration in Decentralized Learning

Joyce Yuan, Yichuan Shi, Abhishek Singh, Rishi Sharma, Ramesh Raskar, Jonas Blanc, Martin Jaggi

8th Conference on Machine Learning and Systems (MLSys) · 2026

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Optimizing Agent Planning for Security and Autonomy

Aashish Kolluri, Rishi Sharma, Manuel Costa, Boris Köpf, Tobias Nießen, Mark Russinovich, Shruti Tople, Santiago Zanella-Beguelin

14th International Conference on Learning Representations (ICLR) · 2026

PDF Poster DOI OpenReview

HarMoEny: Efficient Inference of MoE Models

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

IEEE International Parallel and Distributed Processing Symposium (IPDPS) · 2026

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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 (FL-EdgeAI) · 2025

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Boosting Resource-Constrained Federated Learning Systems with Guessed Updates

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

IEEE Transactions on Parallel and Distributed Systems · 2025

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Noiseless Privacy-Preserving Decentralized Learning

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

Proceedings on Privacy Enhancing Technologies (PoPETS) · 2025

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Low-Cost Privacy-Preserving Decentralized Learning

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

Proceedings on Privacy Enhancing Technologies (PoPETS) 2025 · 2025

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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 Web Conference (WWW) · 2025

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Fair Decentralized Learning

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

2025 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) · 2025

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Practical Federated Learning without a Server

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

Proceedings of the 5th Workshop on Machine Learning and Systems (EuroMLSys) · 2025

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

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

European Conference on Parallel Processing (EuroPar) · 2025

Revisiting Ensembling in One-Shot Federated Learning

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

38th Annual Conference on Neural Information Processing Systems (NeurIPS) · 2024

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Energy-Aware Decentralized Learning with Intermittent Model Training

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

IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) · 2024

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Epidemic Learning: Boosting Decentralized Learning with Randomized Communication

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

37th Annual Conference on Neural Information Processing Systems (NeurIPS) · 2023

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Get More for Less in Decentralized Learning Systems

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

IEEE 43rd International Conference on Distributed Computing Systems (ICDCS) · 2023

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Decentralized Learning Made Easy with DecentralizePy

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

Proceedings of the 3rd Workshop on Machine Learning and Systems (EuroMLSys) · 2023

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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 (CASCON) · 2022

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