Rishi Sharma

Security Researcher

Publications

Afficher par:

- Optimizing Agent Planning for Security and Autonomy
  
  Aashish Kolluri, Rishi Sharma, Manuel Costa, Boris Köpf, Tobias Niessen, Mark Russinovich, Shruti Tople, Santiago Zanella-Béguelin
  
  ICLR 2026 | February 2026
  
  Publication Preprint Projet
- 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, F. Taïani, M. Vos
  
  ArXiv | February 2026, Vol abs/2602.04352
  
  DOI Publication Publication
- Optimizing Agentic Workflows using Meta-tools
  
  Sami Abuzakuk, Anne-Marie Kermarrec, Rishi Sharma, Rasmus Moorits Veski, M. Vos
  
  ArXiv | January 2026, Vol abs/2601.22037
  
  DOI Publication Publication
- 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 | November 2025
  
  DOI Publication
- Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster
  
  Marie Reinbigler, Rishi Sharma, Rafael Pires, Elisabeth Brunet, Anne-Marie Kermarrec, C. Fetita
  
  Euro-Par'25 | September 2025
  
  DOI Publication Publication
- HarMoEny: Efficient Multi-GPU Inference of MoE Models
  
  Zachary Doucet, Rishi Sharma, M. Vos, Rafael Pires, Anne-Marie Kermarrec, Oana Balmau
  
  ArXiv | June 2025, Vol abs/2506.12417
  
  DOI Publication Publication
- Collaborative Agentic AI Needs Interoperability Across Ecosystems
  
  Rishi Sharma, M. Vos, Pradyumna Chari, Ramesh Raskar, Anne-Marie Kermarrec
  
  May 2025
  
  DOI Publication Publication
- Boosting Asynchronous Decentralized Learning with Model Fragmentation
  
  Sayan Biswas, Anne-Marie Kermarrec, Alexis Marouani, Rafael Pires, Rishi Sharma, Martijn de Vos
  
  WWW '25 | October 2024
  
  DOI Publication Publication
- Fair Decentralized Learning
  
  Sayan Biswas, Anne-Marie Kermarrec, Rishi Sharma, Trinca Thibaud, M. Vos
  
  2025 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) | October 2024, pp. 714-734
  
  DOI Publication Publication
- 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. | March 2024, Vol 2025: pp. 451-474
  
  DOI Publication Publication
- 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 | October 2021, Vol 36: pp. 1666-1679
  
  DOI Publication Publication

- 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 | November 2025
  
  DOI Publication
- Optimizing Agentic Workflows using Meta-tools
  
  Sami Abuzakuk, Anne-Marie Kermarrec, Rishi Sharma, Rasmus Moorits Veski, M. Vos
  
  ArXiv | January 2026, Vol abs/2601.22037
  
  DOI Publication Publication
- 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 | November 2025
  
  DOI Publication
- HarMoEny: Efficient Multi-GPU Inference of MoE Models
  
  Zachary Doucet, Rishi Sharma, M. Vos, Rafael Pires, Anne-Marie Kermarrec, Oana Balmau
  
  ArXiv | June 2025, Vol abs/2506.12417
  
  DOI Publication Publication
- Collaborative Agentic AI Needs Interoperability Across Ecosystems
  
  Rishi Sharma, M. Vos, Pradyumna Chari, Ramesh Raskar, Anne-Marie Kermarrec
  
  May 2025
  
  DOI Publication Publication
- Optimizing Agent Planning for Security and Autonomy
  
  Aashish Kolluri, Rishi Sharma, Manuel Costa, Boris Köpf, Tobias Niessen, Mark Russinovich, Shruti Tople, Santiago Zanella-Béguelin
  
  ICLR 2026 | February 2026
  
  Publication Preprint Projet
- 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, F. Taïani, M. Vos
  
  ArXiv | February 2026, Vol abs/2602.04352
  
  DOI Publication Publication
- Optimizing Agentic Workflows using Meta-tools
  
  Sami Abuzakuk, Anne-Marie Kermarrec, Rishi Sharma, Rasmus Moorits Veski, M. Vos
  
  ArXiv | January 2026, Vol abs/2601.22037
  
  DOI Publication Publication
- HarMoEny: Efficient Multi-GPU Inference of MoE Models
  
  Zachary Doucet, Rishi Sharma, M. Vos, Rafael Pires, Anne-Marie Kermarrec, Oana Balmau
  
  ArXiv | June 2025, Vol abs/2506.12417
  
  DOI Publication Publication
- Boosting Asynchronous Decentralized Learning with Model Fragmentation
  
  Sayan Biswas, Anne-Marie Kermarrec, Alexis Marouani, Rafael Pires, Rishi Sharma, Martijn de Vos
  
  WWW '25 | October 2024
  
  DOI Publication Publication
- Fair Decentralized Learning
  
  Sayan Biswas, Anne-Marie Kermarrec, Rishi Sharma, Trinca Thibaud, M. Vos
  
  2025 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) | October 2024, pp. 714-734
  
  DOI Publication Publication
- 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. | March 2024, Vol 2025: pp. 451-474
  
  DOI Publication Publication
- 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 | October 2021, Vol 36: pp. 1666-1679
  
  DOI Publication Publication
- 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, F. Taïani, M. Vos
  
  ArXiv | February 2026, Vol abs/2602.04352
  
  DOI Publication Publication
- Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster
  
  Marie Reinbigler, Rishi Sharma, Rafael Pires, Elisabeth Brunet, Anne-Marie Kermarrec, C. Fetita
  
  Euro-Par'25 | September 2025
  
  DOI Publication Publication
- Fair Decentralized Learning
  
  Sayan Biswas, Anne-Marie Kermarrec, Rishi Sharma, Trinca Thibaud, M. Vos
  
  2025 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) | October 2024, pp. 714-734
  
  DOI Publication Publication
- 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. | March 2024, Vol 2025: pp. 451-474
  
  DOI Publication Publication

- 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, F. Taïani, M. Vos
  
  ArXiv | February 2026, Vol abs/2602.04352
  
  DOI Publication Publication
- Optimizing Agentic Workflows using Meta-tools
  
  Sami Abuzakuk, Anne-Marie Kermarrec, Rishi Sharma, Rasmus Moorits Veski, M. Vos
  
  ArXiv | January 2026, Vol abs/2601.22037
  
  DOI Publication Publication
- 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 | November 2025
  
  DOI Publication
- HarMoEny: Efficient Multi-GPU Inference of MoE Models
  
  Zachary Doucet, Rishi Sharma, M. Vos, Rafael Pires, Anne-Marie Kermarrec, Oana Balmau
  
  ArXiv | June 2025, Vol abs/2506.12417
  
  DOI Publication Publication
- Fair Decentralized Learning
  
  Sayan Biswas, Anne-Marie Kermarrec, Rishi Sharma, Trinca Thibaud, M. Vos
  
  2025 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) | October 2024, pp. 714-734
  
  DOI Publication Publication
- 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. | March 2024, Vol 2025: pp. 451-474
  
  DOI Publication Publication
- 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 | October 2021, Vol 36: pp. 1666-1679
  
  DOI Publication Publication
- Optimizing Agent Planning for Security and Autonomy
  
  Aashish Kolluri, Rishi Sharma, Manuel Costa, Boris Köpf, Tobias Niessen, Mark Russinovich, Shruti Tople, Santiago Zanella-Béguelin
  
  ICLR 2026 | February 2026
  
  Publication Preprint Projet
- Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster
  
  Marie Reinbigler, Rishi Sharma, Rafael Pires, Elisabeth Brunet, Anne-Marie Kermarrec, C. Fetita
  
  Euro-Par'25 | September 2025
  
  DOI Publication Publication
- Boosting Asynchronous Decentralized Learning with Model Fragmentation
  
  Sayan Biswas, Anne-Marie Kermarrec, Alexis Marouani, Rafael Pires, Rishi Sharma, Martijn de Vos
  
  WWW '25 | October 2024
  
  DOI Publication Publication
- Collaborative Agentic AI Needs Interoperability Across Ecosystems
  
  Rishi Sharma, M. Vos, Pradyumna Chari, Ramesh Raskar, Anne-Marie Kermarrec
  
  May 2025
  
  DOI Publication Publication

Rishi Sharma

Publications

Optimizing Agent Planning for Security and Autonomy

Mosaic Learning: A Framework for Decentralized Learning with Model Fragmentation

Optimizing Agentic Workflows using Meta-tools

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

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

HarMoEny: Efficient Multi-GPU Inference of MoE Models

Collaborative Agentic AI Needs Interoperability Across Ecosystems

Boosting Asynchronous Decentralized Learning with Model Fragmentation

Fair Decentralized Learning

Low-Cost Privacy-Preserving Decentralized Learning

Boosting Resource-Constrained Federated Learning Systems With Guessed Updates

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

Optimizing Agentic Workflows using Meta-tools

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

HarMoEny: Efficient Multi-GPU Inference of MoE Models

Collaborative Agentic AI Needs Interoperability Across Ecosystems

Optimizing Agent Planning for Security and Autonomy

Mosaic Learning: A Framework for Decentralized Learning with Model Fragmentation

Optimizing Agentic Workflows using Meta-tools

HarMoEny: Efficient Multi-GPU Inference of MoE Models

Boosting Asynchronous Decentralized Learning with Model Fragmentation

Fair Decentralized Learning

Low-Cost Privacy-Preserving Decentralized Learning

Boosting Resource-Constrained Federated Learning Systems With Guessed Updates

Mosaic Learning: A Framework for Decentralized Learning with Model Fragmentation

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

Fair Decentralized Learning

Low-Cost Privacy-Preserving Decentralized Learning

Mosaic Learning: A Framework for Decentralized Learning with Model Fragmentation

Optimizing Agentic Workflows using Meta-tools

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

HarMoEny: Efficient Multi-GPU Inference of MoE Models

Fair Decentralized Learning

Low-Cost Privacy-Preserving Decentralized Learning

Boosting Resource-Constrained Federated Learning Systems With Guessed Updates

Optimizing Agent Planning for Security and Autonomy

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

Boosting Asynchronous Decentralized Learning with Model Fragmentation

Collaborative Agentic AI Needs Interoperability Across Ecosystems