Privacy-Aware Collaborative and Distributed Bayesian Optimization

Aditya Rane; Sathwik Yamana; Paritosh Ramanan; Srikanthan Ramesh; Akash Deep

Privacy-Aware Collaborative and Distributed Bayesian Optimization

Machine Learning 2026-07-13 v1 Methodology

Authors: Aditya Rane , Sathwik Yamana , Paritosh Ramanan , Srikanthan Ramesh , Akash Deep

Abstract

We propose a collaborative meta-learning framework for distributed Bayesian optimization matching centralized performance without raw-data exchange. We show gradient sharing leaks client observations, with leakage worsening as the search converges and queries concentrate near the optimum. We evaluate a differentially private defense and characterize its privacy-utility trade-off.

Cite

@article{arxiv.2607.11600,
  title  = {Privacy-Aware Collaborative and Distributed Bayesian Optimization},
  author = {Aditya Rane and Sathwik Yamana and Paritosh Ramanan and Srikanthan Ramesh and Akash Deep},
  journal= {arXiv preprint arXiv:2607.11600},
  year   = {2026}
}

Comments

6 pages, 5 figures