collaborators

27 papers

cs.CR2026

A Unified Benchmark for Privacy-preserving Vector Search

Anne-Marie Kermarrec, Rafael Pires, Mathis Randl +1

Vector search powers semantic search, recommendation systems, and retrieval-augmented generation (RAG). By design, the service answering a query sees both the query embedding and,…

cs.NI2026

Position: Collaborative Agentic AI Needs Interoperability Across Ecosystems

Rishi Sharma, Martijn de Vos, Pradyumna Chari +2

Collaborative agentic AI is projected to transform entire industries by enabling AI-powered agents to autonomously perceive, plan, and act within digital environments. Yet, current…

cs.DC2026

Efficient and Robust Online Learning to Rank in Decentralized Systems

Marcel Gregoriadis, Martijn de Vos, Sayan Biswas +2

In Online Learning to Rank (OLTR), ranking models are trained directly from live user interactions, but existing systems rely on a trusted central server to collect and process the…

cs.LG2026

Your Neighbors Know: Leveraging Local Neighborhoods for Backdoor Detection in Decentralized Learning

Sayan Biswas, Antoine Boutet, Davide Frey +7

Decentralized learning (DL) is an emerging machine learning paradigm where nodes collaboratively train models without a central server. However, the collaborative nature of DL make…

cs.LG2026

The Evaluation Game: Beyond Static LLM Benchmarking

Paul Wang, Jade Garcia-Bourrée, Anne-Marie Kermarrec +1

As jailbreaks, adversarially crafted inputs that bypass safety constraints, continue to be discovered in Large Language Models, practitioners increasingly rely on fine-tuning as a…

cs.LG2026

Robust Federated Inference

Akash Dhasade, Sadegh Farhadkhani, Rachid Guerraoui +4

Federated inference, in the form of one-shot federated learning, edge ensembles, or federated ensembles, has emerged as an attractive solution to combine predictions from multiple…