2 citations · 5 across the 13 of their papers we have counts for
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3 papers · 1 filter
cs.LG2020★ 1 cited
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts
Binbin Guo, Yuan Mei, Danyang Xiao +3
Federated learning (FL) is an emerging distributed machine learning paradigm that avoids data sharing among training nodes so as to protect data privacy. Under coordination of the…
cs.GT2020
Impact of Temporary Fork on the Evolution of Mining Pools in Blockchain Networks: An Evolutionary Game Analysis
Canhui Chen, Xu Chen, Jiangshan Yu +2
Temporary fork is a fundamental phenomenon in many blockchains with proof of work, and the analysis of temporary fork has recently drawn great attention. Different from existing ef…
cs.CR2020
Garou: An Efficient and Secure Off-Blockchain Multi-Party Payment Hub
Yongjie Ye, Weigang Wu
To mitigate the scalability problem of decentralized cryptocurrencies such as Bitcoin and Ethereum, the payment channel, which allows two parties to perform secure coin transfers w…