67 citations · 95 across the 7 of their papers we have counts for
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cs.DC2021★ 2 cited
How Low Can You Go? Practical cold-start performance limits in FaaS
Yue Tan, David Liu, Nanqinqin Li +1
Function-as-a-Service (FaaS) has recently emerged as a new cloud computing paradigm. It promises high utilization of data center resources through allocating resources on demand at…
cs.DC2021★ 11 cited
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health
Guodong Long, Tao Shen, Yue Tan +3
Privacy protection is an ethical issue with broad concern in Artificial Intelligence (AI). Federated learning is a new machine learning paradigm to learn a shared model across user…
cs.DC2021★ 3 cited
Federated Learning for Open Banking
Guodong Long, Yue Tan, Jing Jiang +1
Open banking enables individual customers to own their banking data, which provides fundamental support for the boosting of a new ecosystem of data marketplaces and financial servi…