Appendix to "BRICER: Byzantine-Robust Private Collaborative Mean Estimation over Intermittently-Connected Networks"

This document is the supplementary technical appendix to the paper "BRICER: Byzantine-Robust Private Collaborative Mean Estimation over Intermittently-Connected Networks." It presents detailed mathematical derivations and proofs supporting the theoretical results in the main paper, which are omitted from the conference manuscript due to page limitations. The appendix includes the proof of the participation guarantee (Lemma 2), the mean-squared error (MSE) guarantee (Theorem 1), and the differential privacy guarantee (Lemma 1). It further provides an alternative analysis of geometric-median aggregation, including its corresponding MSE bound, details of the optimization procedure underlying the weighting strategy in Section VII, and illustrative worked examples. Additionally, the appendix presents numerical checks of the theoretical results and supplementary discussions of the assumptions, analytical bounds, and technical details used throughout the analysis. This supplementary material is intended to support reproducibility and provide a comprehensive reference for the theoretical analysis presented in the main BRICER paper.

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Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-31
DOI
https://doi.org/10.5281/zenodo.23828939
Primary Topic
Privacy-Preserving Technologies in Data
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article
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Appendix to "BRICER: Byzantine-Robust Private Collaborative Mean Estimation over Intermittently-Connected Networks"

Tsung-Wei Chiang, Barad Srinivasa Dhanush
Zenodo (CERN European Organization for Nuclear Research)
Privacy-Preserving Technologies in Data
article

Appendix to "BRICER: Byzantine-Robust Private Collaborative Mean Estimation over Intermittently-Connected Networks"

Tsung-Wei Chiang, Barad Srinivasa Dhanush
article en

Abstract

This document is the supplementary technical appendix to the paper "BRICER: Byzantine-Robust Private Collaborative Mean Estimation over Intermittently-Connected Networks." It presents detailed mathematical derivations and proofs supporting the theoretical results in the main paper, which are omitted from the conference manuscript due to page limitations. The appendix includes the proof of the participation guarantee (Lemma 2), the mean-squared error (MSE) guarantee (Theorem 1), and the differential privacy guarantee (Lemma 1). It further provides an alternative analysis of geometric-median aggregation, including its corresponding MSE bound, details of the optimization procedure underlying the weighting strategy in Section VII, and illustrative worked examples. Additionally, the appendix presents numerical checks of the theoretical results and supplementary discussions of the assumptions, analytical bounds, and technical details used throughout the analysis. This supplementary material is intended to support reproducibility and provide a comprehensive reference for the theoretical analysis presented in the main BRICER paper.

Zenodo (CERN European Organization for Nuclear Research)
National Chung Cheng University (TW), Indian Institute of Technology Bombay (IN)
Openalex Percentile: Top 13%
Privacy-Preserving Technologies in Data
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