Collaborative deep learning across multiple data centers
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DOI: 10.1007/s11432-019-2705-2
Abstract: Valuable training data is often owned by independent organizations and located in multiple data centers. Most deep learning approaches require to centralize the multi-datacenter data for performance purpose. In practice, however, it is often infeasible… read more here.
Keywords: collaborative deep; multiple data; model averaging; deep learning ... See more keywords
Secure Collaborative Deep Learning Against GAN Attacks in the Internet of Things
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DOI: 10.1109/jiot.2020.3033171
Abstract: Deep learning makes the Internet-of-Things (IoT) devices more attractive, and in turn, IoT facilitates the resolution of the contradiction between data collection and privacy concerns. IoT devices with small-scale computing power can contribute to model… read more here.
Keywords: internet things; gan attacks; collaborative deep; learning ... See more keywords
A Method of Information Protection for Collaborative Deep Learning under GAN Model Attack
Sign Up to like & getrecommendations! Published in 2021 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2019.2940583
Abstract: Deep learning is widely used in the medical field owing to its high accuracy in medical image classification and biological applications. However, under collaborative deep learning, there is a serious risk of information leakage based… read more here.
Keywords: protection; method; collaborative deep; deep learning ... See more keywords