Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Distributed learning over networks has become an active topic of research in the last decade. Adaptive networks are suitable for decentralized inference tasks, e.g., to monitor complex natural phenomena or infrastructure. Most of works focus on distributed estimation methods of linear regression models. Hover, there are many important applications that deal with nonlinear parametric models to be fitted, in a collaborative manner. ,  derive functional diffusion strategies in reproducing kernel Hilbert spaces.
['Wei Gao', 'Jie Chen', 'Cedric Richard', 'Jianguo Huang']
I am writing a research paper on a idea Diffusion adaptation over networks with kernel least-mean-square
[{"from": "human", "value": "I am writing a research paper on a idea Diffusion adaptation over networks with kernel least-mean-square"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Distributed learning over networks has become an active topic of research in the last decade. Adaptive networks are suitable for decentralized inference tasks, e.g., to monitor complex natural phenomena or infrastructure. Most of works focus on distributed estimation methods of linear regression models. Hover, there are many important applications that deal with nonlinear parametric models to be fitted, in a collaborative manner. ,  derive functional diffusion strategies in reproducing kernel Hilbert spaces."}]