A PML-based privacy mechanism design maximizes worst-case utility by permitting zero probabilities in the conditional distribution under an output support constraint.
Local privacy and statistical minimax rates
2 Pith papers cite this work. Polarity classification is still indexing.
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FLARE uses adaptive multi-dimensional reputation scores and soft exclusion to improve Byzantine robustness in federated learning by up to 16% over prior methods while handling a new Statistical Mimicry attack.
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Worst-Case Utility Privacy Mechanism via Pointwise Maximal Leakage
A PML-based privacy mechanism design maximizes worst-case utility by permitting zero probabilities in the conditional distribution under an output support constraint.
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FLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning
FLARE uses adaptive multi-dimensional reputation scores and soft exclusion to improve Byzantine robustness in federated learning by up to 16% over prior methods while handling a new Statistical Mimicry attack.