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v0.1.2 — Initial PyPI release

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@dataeducator dataeducator released this 08 May 16:13
· 75 commits to main since this release
v0.1.2
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First public release of FairSwarm on PyPI (fairswarm 0.1.2), uploaded 2026-02-26.

Highlights

  • Provably fair particle swarm optimization for federated-learning coalition selection
  • Theorems 1–3 (convergence, ε-fairness, submodular approximation) implemented and validated by tests
  • Optional integrations: Flower (pip install fairswarm[flower])
  • Digital Twin module for simulated FL environments
  • PolyForm Noncommercial 1.0.0 license; commercial licensing available

Install

pip install fairswarm==0.1.2

Reference

T. Norwood, D. Das, P. Chatterjee, E. Bentley, and U. Ghosh, "FairSwarm: Trustworthy Coalition Selection for Fair and Secure Federated Intelligence," IEEE Trans. Consum. Electron., 2026 (Submitted).
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