4 citations · 5 across the 5 of their papers we have counts for
5 papers
Enabling On-Device Training of Speech Recognition Models with Federated Dropout
Dhruv Guliani, Lillian Zhou, Changwan Ryu +5
Federated learning can be used to train machine learning models on the edge on local data that never leave devices, providing privacy by default. This presents a challenge pertaini…
Misbehavior Detection in Wi-Fi/LTE Coexistence over Unlicensed Bands
Islam Samy, Xiao Han, Loukas Lazos +3
We consider the problem of fair coexistence between LTE and Wi-Fi systems in the unlicensed 5 GHz U-NII bands. We focus on the misbehavior opportunities due to the heterogeneity in…
FedChain: Secure Proof-of-Stake-based Framework for Federated-blockchain Systems
Cong T. Nguyen, Dinh Thai Hoang, Diep N. Nguyen +4
In this paper, we propose FedChain, a novel framework for federated-blockchain systems, to enable effective transferring of tokens between different blockchain networks. Particular…
BlockRoam: Blockchain-based Roaming Management System for Future Mobile Networks
Cong T. Nguyen, Diep N. Nguyen, Dinh Thai Hoang +4
Mobile service providers (MSPs) are particularly vulnerable to roaming frauds, especially ones that exploit the long delay in the data exchange process of the contemporary roaming…
Diversity-Achieving Slow-DropBlock Network for Person Re-Identification
Xiaofu Wu, Ben Xie, Shiliang Zhao +3
A big challenge of person re-identification (Re-ID) using a multi-branch network architecture is to learn diverse features from the ID-labeled dataset. The 2-branch Batch DropBlock…