Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The paper concerns with the problem of asynchronous gossip-based dynamic averaging estimation with communication constraints, where each agent estimates the local time-varying parameters individually, then random pairs of connected agents iteratively and locally perform a pairwise average of their estimations through quantized information communication. How quantization affects the evolution of the gossip-based dynamic averaging estimation algorithm is investigated.  prove that the agents' states converge to a random variable that deviates from the average of the estimated parameters.  derive a strong result about the upper bound for the asymptotic mean square error of the states, which just captures effect of the quantized precision and is independent of the network parameters.
['Dequan Li', 'Xiaofan Wang']
I am writing a research paper on a idea Asynchronously dynamic averaging estimation with communication constraints
[{"from": "human", "value": "I am writing a research paper on a idea Asynchronously dynamic averaging estimation with communication constraints"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The paper concerns with the problem of asynchronous gossip-based dynamic averaging estimation with communication constraints, where each agent estimates the local time-varying parameters individually, then random pairs of connected agents iteratively and locally perform a pairwise average of their estimations through quantized information communication. How quantization affects the evolution of the gossip-based dynamic averaging estimation algorithm is investigated.  prove that the agents' states converge to a random variable that deviates from the average of the estimated parameters.  derive a strong result about the upper bound for the asymptotic mean square error of the states, which just captures effect of the quantized precision and is independent of the network parameters."}]