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 to transfer all data of different organizations to a centralized data center owing to the constraints of privacy regulations. It is very challenging to conduct the geo-distributed deep learning among data centers without the privacy leaks. Model a... 

【文章來源】：Science China(Information Sciences). 2020年08期

【文章頁數(shù)】：11 頁

【參考文獻(xiàn)】：
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