activity
20192022
most citedSemi-Synchronous Personalized Federated Learning over Mobile Edge Networks

27 citations · 28 across the 2 of their papers we have counts for

collaborators

5 papers

cs.LG202227 cited

Semi-Synchronous Personalized Federated Learning over Mobile Edge Networks

Chaoqun You, Daquan Feng, Kun Guo +2

Personalized Federated Learning (PFL) is a new Federated Learning (FL) approach to address the heterogeneity issue of the datasets generated by distributed user equipments (UEs). H…

cs.DC2021

Blockchain Systems, Technologies and Applications: A Methodology Perspective

Bin Cao, Zixin Wang, Long Zhang +3

In the past decade, blockchain has shown a promising vision greatly to build the trust without any powerful third party in a secure, decentralized and salable manner. However, due…

cs.IT2020

Understanding Age of Information in Large-Scale Wireless Networks

Howard H. Yang, Chao Xu, Xijun Wang +2

The notion of age-of-information (AoI) is investigated in the context of large-scale wireless networks, in which transmitters need to send a sequence of information packets, which…

cs.DC2019

Direct Acyclic Graph based Ledger for Internet of Things: Performance and Security Analysis

Yixin Li, Bin Cao, Mugen Peng +4

Direct Acyclic Graph (DAG)-based ledger and the corresponding consensus algorithm has been identified as a promising technology for Internet of Things (IoT). Compared with Proof-of…

eess.SP20191 cited

Towards Ultra-Reliable Low-Latency Communications: Typical Scenarios, Possible Solutions, and Open Issues

Daquan Feng, Changyang She, Kai Ying +5

Ultra-reliable low-latency communications (URLLC) has been considered as one of the three new application scenarios in the \emph{5th Generation} (5G) \emph {New Radio} (NR), where…