Acceleration and Privacy Protection for Distributed Computing
In recent years, the rapidly increasing data base scales and complexities arising from various engineering, social and biomedical applications strongly motivate the study of distributed computation. The central idea is that a group of decentralized agents can break down and solve complex problems with suitable interconnection and cooperation, in which one gains scalability and resilience compared to traditional centralized computations. New challenges arrive accordingly in terms of the...[Show more]
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|Yang Liu Thesis 2019.pdf||Thesis Material||4.09 MB||Adobe PDF|
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