11 citations · 29 across the 17 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
stat.ME2020
Adaptive Randomization in Network Data
Zhixin Zhou, Ping Li, Feifang Hu
Network data have appeared frequently in recent research. For example, in comparing the effects of different types of treatment, network models have been proposed to improve the qu…
stat.ME2020★ 3 cited
Cluster-Adaptive Network A/B Testing: From Randomization to Estimation
Yifan Zhou, Yang Liu, Ping Li +1
A/B testing is an important decision-making tool in product development for evaluating user engagement or satisfaction from a new service, feature or product. The goal of A/B testi…
stat.ML2020★ 11 cited
FedSKETCH: Communication-Efficient and Private Federated Learning via Sketching
Farzin Haddadpour, Belhal Karimi, Ping Li +1
Communication complexity and privacy are the two key challenges in Federated Learning where the goal is to perform a distributed learning through a large volume of devices. In this…