ARGFree is the first gradient-free method for aggregative cooperative optimization, converging in expectation to an approximate solution via randomized finite differences and tracking, with a momentum-enhanced variant for high dimensions.
A survey of consensus problems in multi-agent coordination
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A new cooperative localization algorithm based on overlapping covariance intersection is fully distributed, provably recursively consistent, and scalable to ultra large-scale multi-agent systems without performance loss from ignored cross-correlations.
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Model-Free Aggregative Cooperative Optimization via Randomized Gradient-Free Minimization and Exploration Momentum
ARGFree is the first gradient-free method for aggregative cooperative optimization, converging in expectation to an approximate solution via randomized finite differences and tracking, with a momentum-enhanced variant for high dimensions.