An Online Low-Cost System for Air Quality Monitoring, Prediction, and Warning. - Rishi Sharma 001; Tushar Saini; Praveen Kumar; Ankush Pathania; Khyathi Chitineni; Pratik Chaturvedi; Varun Dutt (ICDCIT, 2020)

ZS3: Marrying Static Analyzers and Constraint Solvers to Parallelize Loops in Managed Runtimes. - Rishi Sharma 001; Shreyansh Kulshreshtha; Manas Thakur (CASCON, 2022)

Can We Run in Parallel? Automating Loop Parallelization for TornadoVM. - Rishi Sharma 001; Shreyansh Kulshreshtha; Manas Thakur (CoRR, 2022)

Decentralized Learning Made Easy with DecentralizePy. - Akash Balasaheb Dhasade; Anne-Marie Kermarrec; Rafael Pires 001; Rishi Sharma 001; Milos Vujasinovic (EuroMLSys@EuroSys, 2023)

Get More for Less in Decentralized Learning Systems. - Akash Balasaheb Dhasade; Anne-Marie Kermarrec; Rafael Pires 001; Rishi Sharma 001; Milos Vujasinovic; Jeffrey Wigger (ICDCS, 2023)

Epidemic Learning: Boosting Decentralized Learning with Randomized Communication. - Martijn de Vos; Sadegh Farhadkhani; Rachid Guerraoui; Anne-Marie Kermarrec; Rafael Pires 001; Rishi Sharma 001 (NeurIPS, 2023)

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 001; Rishi Sharma 001 (IPDPS (Workshops), 2024)

Revisiting Ensembling in One-Shot Federated Learning. - Youssef Allouah; Akash Balasaheb Dhasade; Rachid Guerraoui; Nirupam Gupta; Anne-Marie Kermarrec; Rafael Pinot; Rafael Pires 001; Rishi Sharma 001 (NeurIPS, 2024)

Low-Cost Privacy-Aware Decentralized Learning. - Sayan Biswas; Davide Frey; Romaric Gaudel; Anne-Marie Kermarrec; Dimitri Lerévérend; Rafael Pires 001; Rishi Sharma 001; François Taïani (CoRR, 2024)

Beyond Noise: Privacy-Preserving Decentralized Learning with Virtual Nodes. - Sayan Biswas; Mathieu Even; Anne-Marie Kermarrec; Laurent Massoulié; Rafael Pires 001; Rishi Sharma 001; Martijn de Vos (CoRR, 2024)

Secure Aggregation Meets Sparsification in Decentralized Learning. - Sayan Biswas; Anne-Marie Kermarrec; Rafael Pires 001; Rishi Sharma 001; Milos Vujasinovic (CoRR, 2024)

Practical Federated Learning without a Server. - Akash Balasaheb Dhasade; Anne-Marie Kermarrec; Erick Lavoie; Johan Pouwelse; Rishi Sharma 001; Martijn de Vos (EuroMLSys, 2025)

Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster. - Marie Reinbigler; Rishi Sharma 001; Rafael Pires 001; Elisabeth Brunet; Anne-Marie Kermarrec; Catalin I. Fetita (Euro-Par (3), 2025)

Fair Decentralized Learning. - Sayan Biswas; Anne-Marie Kermarrec; Rishi Sharma 001; Trinca Thibaud; Martijn de Vos (SaTML, 2025)

Boosting Asynchronous Decentralized Learning with Model Fragmentation. - Sayan Biswas; Anne-Marie Kermarrec; Alexis Marouani; Rafael Pires 001; Rishi Sharma 001; Martijn de Vos (WWW, 2025)

Noiseless Privacy-Preserving Decentralized Learning. - Sayan Biswas; Mathieu Even; Anne-Marie Kermarrec; Laurent Massoulié; Rafael Pires 001; Rishi Sharma 001; Martijn de Vos (Proc. Priv. Enhancing Technol., 2025)

Low-Cost Privacy-Preserving Decentralized Learning. - Sayan Biswas; Davide Frey; Romaric Gaudel; Anne-Marie Kermarrec; Dimitri Lerévérend; Rafael Pires 001; Rishi Sharma 001; François Taïani (Proc. Priv. Enhancing Technol., 2025)

Collaborative Agentic AI Needs Interoperability Across Ecosystems. - Rishi Sharma 001; Martijn de Vos; Pradyumna Chari; Ramesh Raskar; Anne-Marie Kermarrec (CoRR, 2025)

HarMoEny: Efficient Multi-GPU Inference of MoE Models. - Zachary Doucet; Rishi Sharma 001; Martijn de Vos; Rafael Pires 001; Anne-Marie Kermarrec; Oana Balmau (CoRR, 2025)

Boosting Resource-Constrained Federated Learning Systems With Guessed Updates. - Mohamed Yassine Boukhari; Akash Balasaheb Dhasade; Anne-Marie Kermarrec; Rafael Pires 001; Othmane Safsafi; Rishi Sharma 001 (IEEE Trans. Parallel Distributed Syst., 2025)