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Resilient Byzantine Agreement with Predictions
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Characterizes consistency-robustness-smoothness trade-offs for prediction-augmented Byzantine agreement (global and local predictions, with and without authentication), giving matching algorithms and impossibility results for resilience.
Problem
Byzantine agreement with predicted honest sets: how many faulty nodes can be tolerated when predictions of honest nodes may be wrong, and how resilience degrades as prediction error grows.
Approach
Use a predicted set P of trusted nodes, pad it deterministically to a minimum size set L tuned by trust parameter alpha, then run Phase King (non-authenticated) or Dolev-Strong (authenticated) inside L; matching indistinguishability arguments show these trade-offs are optimal and independent of the predictor. Smoothness is characterized via an error function counting mispredictions.
Key results
- Non-authenticated pred_ba is alpha-consistent for alpha in [1/3,1] and ((1-alpha)/2 - 1/n)-robust, matched by an impossibility showing robustness cannot exceed (1-alpha)/2.
- Authenticated variant is alpha-consistent for alpha in [1/2,1] and (1-alpha-1/n)-robust, matched by an impossibility at (1-alpha).
- Under local predictions, any alpha-consistent algorithm with alpha >= 1/2 is 0-robust.
Surprising findings
- With local predictions, achieving consistency of 1/2 forces robustness to zero, so local predictions give no robustness benefit in the authenticated case.
Limitations
- Focuses on resilience, not round or communication efficiency; runtime depends on underlying BA subroutine.
- Local-prediction case for non-authenticated consistency in [1/3,1/2) with nontrivial robustness remains open.
- Synchronous binary BA with a fixed known n and upper bound t only.
Experimental setup
Metrics: resilience consistency robustness smoothness
Baselines: prediction-free Byzantine agreement (n>3t non-authenticated) prediction-free authenticated BA (n>2t)
Builds on: Phase King Dolev-Strong Ben-David et al. BA with predictions Boyar et al. smoothness
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