QUBO formulation on quantum annealers for joint client selection in federated learning, combined with a MultiSignal routing ensemble, yields higher Byzantine attack detection accuracy than MultiKrum on challenging attacks at both small and moderate scales.
Byzantine-robust distributed learning: Towards optimal statistical rates,
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Byzantine-Resilient Federated Learning via QUBO-Based Client Selection on Quantum Annealers
QUBO formulation on quantum annealers for joint client selection in federated learning, combined with a MultiSignal routing ensemble, yields higher Byzantine attack detection accuracy than MultiKrum on challenging attacks at both small and moderate scales.