Christopher G. Brinton
About
Christopher G. Brinton has authored 107 papers that have received a total of 1.2k indexed citations.
This includes 75 papers in Artificial Intelligence, 40 papers in Electrical and Electronic Engineering and 33 papers in Computer Networks and Communications. The topics of these papers are Privacy-Preserving Technologies in Data (42 papers), Stochastic Gradient Optimization Techniques (19 papers) and Online Learning and Analytics (17 papers). Christopher G. Brinton is often cited by papers focused on Privacy-Preserving Technologies in Data (42 papers), Stochastic Gradient Optimization Techniques (19 papers) and Online Learning and Analytics (17 papers) and collaborates with scholars based in United States, China and Canada. Christopher G. Brinton's co-authors include Mung Chiang, Seyyedali Hosseinalipour, David J. Love, Vaneet Aggarwal and Andrew Lan and has published in prestigious journals such as Social Science & Medicine, IEEE Transactions on Signal Processing and IEEE Communications Magazine.
In The Last Decade
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