Benchmark Datasets for Adversarial Distributed Optimization #2

This repository contains the benchmark datasets used in the study "Optimization under Attack: Resilience, Vulnerability, and the Path to Collapse". The datasets support the evaluation of adversarial distributed optimization in discrete-choice multi-agent systems across a voting scenario. The benchmark includes datasets generated from extensive large-scale experiments that systematically vary adversarial scale, behavioural severity, and network position to analyse system resilience, vulnerability, collapse, and Pareto optimality. The repository contains the Voting dataset. The Energy, Privacy (high- and low-signal), and Gaussian datasets are available in a companion Zenodo repository, and both records are cross-linked to provide access to the complete benchmark collection. These datasets are intended to support reproducible research, benchmarking, and future studies on adversarial distributed optimization, multi-agent systems, resilience analysis, and fault-tolerant optimization.