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Author

Dimitra Panagou

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Jul 2026

Distributed Model-Based Diffusion For Scalable Multi-Robot Trajectory Optimization

Distributed Model-Based Diffusion is proposed, a distributed server-robot framework that decomposes the reverse diffusion process into local conditional reverse diffusion processes that enables each robot to iteratively perform denoising independently within its own control subspace while conditioning on the current trajectory estimates of the other robots that are aggregated and broadcast by the server.

Haejoon Lee, Xin-Yi Wang, Taekyung Kim et al. · 0 citations

Robust Multi-Agent LLMs under Byzantine Faults

Self-Anchored Consensus (SAC), a fully decentralized filter-and-refine protocol in which agents iteratively exchange responses, locally evaluate and filter unreliable messages, and refine their own outputs, is proposed.

Haejoon Lee, Vincent Yun, Hyeonho Oh et al. · 3 citations

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