Optimal round complexity and resilience approximate agreement on trees with matching lower bounds, extended to block graphs in synchronous and asynchronous models.
and Pinter, Shlomit S
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SAC is a decentralized iterative filter-and-refine protocol that achieves (F+1)-robustness in LLM multi-agent systems, suppressing Byzantine influence and improving performance on reasoning benchmarks where prior methods fail.
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Round and Resilience-Optimal Approximate Agreement on Trees and Block Graphs
Optimal round complexity and resilience approximate agreement on trees with matching lower bounds, extended to block graphs in synchronous and asynchronous models.
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Robust Multi-Agent LLMs under Byzantine Faults
SAC is a decentralized iterative filter-and-refine protocol that achieves (F+1)-robustness in LLM multi-agent systems, suppressing Byzantine influence and improving performance on reasoning benchmarks where prior methods fail.