Author

M. Vos

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#machine learning Preprint Sep 2026

Backdoor Mitigation in Decentralized LLM Fine-Tuning

Decentralized large language model (LLM) fine-tuning lets organizations collaboratively train a shared LLM on data they cannot pool, without a central coordinator. In every round, each node exchanges a trainable adapter with its neighbors over a communication graph, and then aggregates them. This setting, however, is v...

Sayan Biswas, Jade Garcia Bourrée, R. Guerraoui et al. · 0 citations

Preprint Aug 2026

A Unified Benchmark for Privacy-preserving Vector Search

A uniform experimental comparison of vector search schemes finds that the performance of SAP matches Plaintext, EMVP delivers cryptographic indistinguishability at a 4x throughput cost on CPU, BNTM adds malicious-server verifiability at a further 22x median-latency cost, and Tiptoe hides the cluster choice itself, but...

Anne-Marie Kermarrec, Rafael Pires, Mathis Randl et al. · 1 citation