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FairDAG: Consensus Fairness over Multi-Proposer Causal Design

Summary: FairDAG moves consensus fairness from leader-based chains to multi-proposer DAGs, limiting proposer ordering manipulation while improving throughput. AB and RL variants outperform Pompe and Themis in throughput and fairness quality. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
14517
Venue
VLDB
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,577 | 27.44%
DOI
10.14778/3773749.3773763

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Authors

BibTeX Citation

@article{kang_vldb26,
        title = {{FairDAG: Consensus Fairness over Multi-Proposer Causal Design}},
        author = {Kang, Dakai and Chen, Junchao and Dinh, Tien Tuan Anh and Sadoghi, Mohammad},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {2},
        pages = {265--278},
        doi = {10.14778/3773749.3773763},
        url = {https://doi.org/10.14778/3773749.3773763},
        year = {2026}
}

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