3 papers
cs.LG2022★ 1 cited
Boost Decentralized Federated Learning in Vehicular Networks by Diversifying Data Sources
Dongyuan Su, Yipeng Zhou, Laizhong Cui
Recently, federated learning (FL) has received intensive research because of its ability in preserving data privacy for scattered clients to collaboratively train machine learning…
cs.LG2021
Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates
Laizhong Cui, Xiaoxin Su, Yipeng Zhou +1
Federated Learning (FL) is an emerging decentralized learning framework through which multiple clients can collaboratively train a learning model. However, a major obstacle that im…
cs.NI2019
Two Dimensional Router: Design and Implementation
Shu Yang, Laizhong Cui, Xinhao Deng +5
Higher dimensional classification has attracted more attentions with increasing demands for more flexible services in the Internet. In this paper, we present the design and impleme…