133 citations · 224 across the 19 of their papers we have counts for
Showing 2019Show all
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cs.CR2019★ 8 cited
Revocable Federated Learning: A Benchmark of Federated Forest
Yang Liu, Zhuo Ma, Ximeng Liu +3
A learning federation is composed of multiple participants who use the federated learning technique to collaboratively train a machine learning model without directly revealing the…
cs.CR2019★ 54 cited
Boosting Privately: Privacy-Preserving Federated Extreme Boosting for Mobile Crowdsensing
Yang Liu, Zhuo Ma, Ximeng Liu +3
Recently, Google and other 24 institutions proposed a series of open challenges towards federated learning (FL), which include application expansion and homomorphic encryption (HE)…