Adaptive Diffusion for Distributed Optimization over Multi-Agent Network with Random Delays (Poster)

Optimizing an aggregate function over a multi-agent network based on diffusion strategies calls for node collaborations, where each sensor exchanges information with their predefined neighbors within its transmission/reception range, and then combines them linearly with fixed and non-adaptive scalar weights to obtain a consensus solution. However, the transmission/reception process may be corrupted by random delays due to imperfect network...