activity
20192022
most citedDistributed Optimization for Over-Parameterized Learning

4 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR20221 cited

Tree Representation, Growth Rate of Blockchain and Reward Allocation in Ethereum with Multiple Mining Pools

Quan-Lin Li, Yan-Xia Chang, Chi Zhang

It is interesting but difficult and challenging to study Ethereum with multiple mining pools. One of the main difficulties comes from not only how to represent such a general tree…

cs.PF20211 cited

Two Basic Queueing Models of Service Platforms in Digital Sharing Economy

Heng-Li Liu, Quan-Lin Li, Xiaole Wu +1

This paper describes two basic queueing models of service platforms in digital sharing economy by means of two different policies of platform matching information. We show that the…

stat.AP2021

Infections Forecasting and Intervention Effect Evaluation for COVID-19 via a Data-Driven Markov Process and Heterogeneous Simulation

Quan-Lin Li, Chengliang Wang, Yiming Xu +5

The Coronavirus Disease 2019 (COVID-19) pandemic has caused tremendous amount of deaths and a devastating impact on the economic development all over the world. Thus, it is paramou…

cs.LG20201 cited

Collaborative Inference for Efficient Remote Monitoring

Chi Zhang, Yong Sheng Soh, Ling Feng +2

While current machine learning models have impressive performance over a wide range of applications, their large size and complexity render them unsuitable for tasks such as remote…

cs.DC20194 cited

Distributed Optimization for Over-Parameterized Learning

Chi Zhang, Qianxiao Li

Distributed optimization often consists of two updating phases: local optimization and inter-node communication. Conventional approaches require working nodes to communicate with t…