Martijn de Vos

59 papers A* 3A 4B 2C 1Journal 35Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Catapults to the Rescue: Accelerating Vector Search by Exploiting Query Locality.
CoRR
Sami Abuzakuk, Anne-Marie Kermarrec, Rafael Pires, Mathis Randl, Martijn de Vos
2026 J jnl
Effective LoRA Adapter Routing using Task Representations.
CoRR
Akash Balasaheb Dhasade, Anne-Marie Kermarrec, Igor Pavlovic, Diana Petrescu, Rafael Pires, Mathis Randl, Martijn de Vos
2026 J jnl
Mosaic Learning: A Framework for Decentralized Learning with Model Fragmentation.
CoRR
Sayan Biswas, Davide Frey, Romaric Gaudel, Nirupam Gupta, Anne-Marie Kermarrec, Dimitri Lerévérend, Rafael Pires, Rishi Sharma, François Taïani, Martijn de Vos
2026 J jnl
Optimizing Agentic Workflows using Meta-tools.
CoRR
Sami Abuzakuk, Anne-Marie Kermarrec, Rishi Sharma, Rasmus Moorits Veski, Martijn de Vos
2026 — conf
Orbit: Efficient Agentic Inference using Priority Scheduling.
EuroMLSys@EuroSys
Sami Abuzakuk, Anne-Marie Kermarrec, Palak, Rafael Pires, Rishi Sharma, Martijn de Vos
2026 — conf
RIVA: Leveraging LLM Agents for Reliable Configuration Drift Detection.
EuroMLSys@EuroSys
Sami Abuzakuk, Lucas Crijns, Anne-Marie Kermarrec, Rafael Pires, Martijn de Vos
2026 J jnl
RIVA: Leveraging LLM Agents for Reliable Configuration Drift Detection.
CoRR
Sami Abuzakuk, Lucas Crijns, Anne-Marie Kermarrec, Rafael Pires, Martijn de Vos
2026 — conf
The Cost of Expertise: Understanding MoE Decode Performance.
EuroMLSys@EuroSys
Sami Abuzakuk, Oana Balmau, Jiaxuan Chen, Anne-Marie Kermarrec, Rafael Pires, Ramya Prabhu, Martijn de Vos
2025 — conf
Accelerating MoE Model Inference with Expert Sharding.
EuroMLSys
Oana Balmau, Anne-Marie Kermarrec, Rafael Pires, André Loureiro Espírito Santo, Martijn de Vos, Milos Vujasinovic
2025 J jnl
Accelerating MoE Model Inference with Expert Sharding.
CoRR
Oana Balmau, Anne-Marie Kermarrec, Rafael Pires, André Loureiro Espírito Santo, Martijn de Vos, Milos Vujasinovic
2025 A* conf
Boosting Asynchronous Decentralized Learning with Model Fragmentation.
WWW
Sayan Biswas, Anne-Marie Kermarrec, Alexis Marouani, Rafael Pires, Rishi Sharma, Martijn de Vos
2025 J jnl
Collaborative Agentic AI Needs Interoperability Across Ecosystems.
CoRR
Rishi Sharma, Martijn de Vos, Pradyumna Chari, Ramesh Raskar, Anne-Marie Kermarrec
2025 — conf
Efficient Federated Search for Retrieval-Augmented Generation.
EuroMLSys
Rachid Guerraoui, Anne-Marie Kermarrec, Diana Petrescu, Rafael Pires, Mathis Randl, Martijn de Vos
2025 J jnl
Efficient Federated Search for Retrieval-Augmented Generation.
CoRR
Rachid Guerraoui, Anne-Marie Kermarrec, Diana Petrescu, Rafael Pires, Mathis Randl, Martijn de Vos
2025 — conf
Fair Decentralized Learning.
SaTML
Sayan Biswas, Anne-Marie Kermarrec, Rishi Sharma, Trinca Thibaud, Martijn de Vos
2025 J jnl
HarMoEny: Efficient Multi-GPU Inference of MoE Models.
CoRR
Zachary Doucet, Rishi Sharma, Martijn de Vos, Rafael Pires, Anne-Marie Kermarrec, Oana Balmau
2025 — conf
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning.
EuroMLSys
Akash Balasaheb Dhasade, Anne-Marie Kermarrec, Tuan-Anh Nguyen, Rafael Pires, Martijn de Vos
2025 — conf
Leveraging Approximate Caching for Faster Retrieval-Augmented Generation.
EuroMLSys
Shai Aviram Bergman, Ji Zhang, Anne-Marie Kermarrec, Diana Petrescu, Rafael Pires, Mathis Randl, Martijn de Vos
2025 A conf
Leveraging Approximate Caching for Faster Retrieval-Augmented Generation.
Middleware
Shai Bergman, Anne-Marie Kermarrec, Diana Petrescu, Rafael Pires, Mathis Randl, Martijn de Vos, Ji Zhang
2025 J jnl
Leveraging Approximate Caching for Faster Retrieval-Augmented Generation.
CoRR
Shai Bergman, Ji Zhang, Anne-Marie Kermarrec, Diana Petrescu, Rafael Pires, Mathis Randl, Martijn de Vos
2025 J jnl
Noiseless Privacy-Preserving Decentralized Learning.
Proc. Priv. Enhancing Technol.
Sayan Biswas, Mathieu Even, Anne-Marie Kermarrec, Laurent Massoulié, Rafael Pires, Rishi Sharma, Martijn de Vos
2025 — conf
Practical Federated Learning without a Server.
EuroMLSys
Akash Balasaheb Dhasade, Anne-Marie Kermarrec, Erick Lavoie, Johan Pouwelse, Rishi Sharma, Martijn de Vos
2025 J jnl
Practical Federated Learning without a Server.
CoRR
Akash Balasaheb Dhasade, Anne-Marie Kermarrec, Erick Lavoie, Johan Pouwelse, Rishi Sharma, Martijn de Vos
2025 J jnl
Practical and Private Hybrid ML Inference with Fully Homomorphic Encryption.
CoRR
Sayan Biswas, Philippe Chartier, Akash Balasaheb Dhasade, Tom Jurien, David Kerriou, Anne-Marie Kerrmarec, Mohammed Lemou, Franklin Tranie, Martijn de Vos, Milos Vujasinovic
2025 A* conf
Robust ML Auditing using Prior Knowledge.
ICML
Jade Garcia Bourrée, Augustin Godinot, Sayan Biswas, Anne-Marie Kermarrec, Erwan Le Merrer, Gilles Trédan, Martijn de Vos, Milos Vujasinovic
2025 J jnl
Robust ML Auditing using Prior Knowledge.
CoRR
Jade Garcia Bourrée, Augustin Godinot, Martijn de Vos, Milos Vujasinovic, Sayan Biswas, Gilles Trédan, Erwan Le Merrer, Anne-Marie Kermarrec
2024 J jnl
Beyond Noise: Privacy-Preserving Decentralized Learning with Virtual Nodes.
CoRR
Sayan Biswas, Mathieu Even, Anne-Marie Kermarrec, Laurent Massoulié, Rafael Pires, Rishi Sharma, Martijn de Vos
2024 J jnl
Boosting Asynchronous Decentralized Learning with Model Fragmentation.
CoRR
Sayan Biswas, Anne-Marie Kermarrec, Alexis Marouani, Rafael Pires, Rishi Sharma, Martijn de Vos
2024 J jnl
DeScan: Censorship-resistant indexing and search for Web3.
Future Gener. Comput. Syst.
Martijn de Vos, Georgy Ishmaev, Johan Pouwelse
2024 — conf
Energy-Aware Decentralized Learning with Intermittent Model Training.
IPDPS (Workshops)
Martijn de Vos, Akash Balasaheb Dhasade, Paolo Dini, Elia Guerra, Anne-Marie Kermarrec, Marco Miozzo, Rafael Pires, Rishi Sharma
2024 J jnl
Energy-Aware Decentralized Learning with Intermittent Model Training.
CoRR
Akash Balasaheb Dhasade, Paolo Dini, Elia Guerra, Anne-Marie Kermarrec, Marco Miozzo, Rafael Pires, Rishi Sharma, Martijn de Vos
2024 J jnl
Fair Decentralized Learning.
CoRR
Sayan Biswas, Anne-Marie Kermarrec, Rishi Sharma, Trinca Thibaud, Martijn de Vos
2024 A conf
Fairness Auditing with Multi-Agent Collaboration.
ECAI
Martijn de Vos, Akash Balasaheb Dhasade, Jade Garcia Bourrée, Anne-Marie Kermarrec, Erwan Le Merrer, Benoît Rottembourg, Gilles Trédan
2024 J jnl
Fairness Auditing with Multi-Agent Collaboration.
CoRR
Martijn de Vos, Akash Balasaheb Dhasade, Jade Garcia Bourrée, Anne-Marie Kermarrec, Erwan Le Merrer, Benoît Rottembourg, Gilles Trédan
2024 J jnl
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning.
CoRR
Akash Balasaheb Dhasade, Anne-Marie Kermarrec, Tuan-Anh Nguyen, Rafael Pires, Martijn de Vos
2024 J jnl
Light-HIDRA: Scalable and decentralized resource orchestration in Fog-IoT environments.
Future Gener. Comput. Syst.
Carlos Núñez-Gómez, Martijn de Vos, Jérémie Decouchant, Johan Pouwelse, María Blanca Caminero, Carmen Carrión
2024 B conf
Peerswap: A Peer-Sampler with Randomness Guarantees.
SRDS
Rachid Guerraoui, Anne-Marie Kermarrec, Anastasiia Kucherenko, Rafael Pinot, Martijn de Vos
2024 A conf
QuickDrop: Efficient Federated Unlearning via Synthetic Data Generation.
Middleware
Akash Balasaheb Dhasade, Yaohong Ding, Song Guo, Anne-Marie Kermarrec, Martijn de Vos, Leijie Wu
2023 — conf
A Deployment-First Methodology to Mechanism Design and Refinement in Distributed Systems.
PerCom Workshops
Martijn de Vos, Georgy Ishmaev, Johan Pouwelse, Stefanie Roos
2023 J jnl
A Deployment-First Methodology to Mechanism Design and Refinement in Distributed Systems.
CoRR
Martijn de Vos, Georgy Ishmaev, Johan Pouwelse, Stefanie Roos
2023 A* conf
Epidemic Learning: Boosting Decentralized Learning with Randomized Communication.
NeurIPS
Martijn de Vos, Sadegh Farhadkhani, Rachid Guerraoui, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma
2023 J jnl
Epidemic Learning: Boosting Decentralized Learning with Randomized Communication.
CoRR
Martijn de Vos, Sadegh Farhadkhani, Rachid Guerraoui, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma
2023 J jnl
MoDeST: Bridging the Gap between Federated and Decentralized Learning with Decentralized Sampling.
CoRR
Martijn de Vos, Akash Balasaheb Dhasade, Anne-Marie Kermarrec, Erick Lavoie, Johan Pouwelse
2023 J jnl
QuickDrop: Efficient Federated Unlearning by Integrated Dataset Distillation.
CoRR
Akash Balasaheb Dhasade, Yaohong Ding, Song Guo, Anne-Marie Kermarrec, Martijn de Vos, Leijie Wu
2022 J jnl
Decentralizing components of electronic markets to prevent gatekeeping and manipulation.
Electron. Commer. Res. Appl.
Martijn de Vos, Georgy Ishmaev, Johan Pouwelse
2022 J jnl
Gromit: Benchmarking the Performance and Scalability of Blockchain Systems.
CoRR
Bulat Nasrulin, Martijn de Vos, Georgy Ishmaev, Johan Pouwelse
2021 J jnl
ASTANA: Practical String Deobfuscation for Android Applications Using Program Slicing.
CoRR
Martijn de Vos, Johan Pouwelse
2021 J jnl
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments.
CoRR
Joost Verbraeken, Martijn de Vos, Johan Pouwelse
2021 J jnl
ConTrib: Maintaining fairness in decentralized big tech alternatives by accounting work.
Comput. Networks
Martijn de Vos, Johan Pouwelse
2021 — conf
UniCon: Universal and Scalable Infrastructure for Digital Asset Management.
DICG@Middleware
Pablo Rodrigo, Johan Pouwelse, Martijn de Vos
2021 J jnl
XChange: A Universal Mechanism for Asset Exchange between Permissioned Blockchains.
World Wide Web
Martijn de Vos, Can Umut Ileri, Johan Pouwelse
2020 — conf
ConTrib: Universal and Decentralized Accounting in Shared-Resource Systems.
DICG@Middleware
Martijn de Vos, Johan Pouwelse
2020 A conf
MATCH: A Decentralized Middleware for Fair Matchmaking In Peer-to-Peer Markets.
Middleware
Martijn de Vos, Georgy Ishmaev, Johan Pouwelse
2020 J jnl
TrustChain: A Sybil-resistant scalable blockchain.
Future Gener. Comput. Syst.
Pim Otte, Martijn de Vos, Johan Pouwelse
2020 J jnl
XChange: A Blockchain-based Mechanism for Generic Asset Trading In Resource-constrained Environments.
CoRR
Martijn de Vos, Can Umut Ileri, Johan Pouwelse
2019 — conf
DevID: Blockchain-Based Portfolios for Software Developers.
DAPPCON
Martijn de Vos, Mitchell Olsthoorn, Johan Pouwelse
2018 B conf
Real-time Money Routing by Trusting Strangers with your Funds.
Networking
Martijn de Vos, Johan Pouwelse
2014 J jnl
The fifteen year struggle of decentralizing privacy-enhancing technology.
CoRR
Rolf Jagerman, Wendo Sabée, Laurens Versluis, Martijn de Vos, Johan A. Pouwelse
2013 C conf
Paintrix: Color Up Your Life!
Advances in Computer Entertainment
Dimitri Slappendel, Fanny Lie, Martijn de Vos, Alex Kopla, Rafael Bidarra