most citedPost Quantum Secure Blockchain-based Federated Learning for Mobile Edge Computing

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

collaborators

5 papers

cs.DC2023★ 2 cited

Post Quantum Secure Blockchain-based Federated Learning for Mobile Edge Computing

Rongxin Xu, Shiva Raj Pokhrel, Qiujun Lan +1

Mobile Edge Computing (MEC) has been a promising paradigm for communicating and edge processing of data on the move. We aim to employ Federated Learning (FL) and prominent features…

cs.CR2023★ 1 cited

Digital Privacy Under Attack: Challenges and Enablers

Baobao Song, Shiva Raj Pokhrel, Mengyue Deng +3

We present a comprehensive analysis of privacy attacks and countermeasures in data-driven systems. We systematically categorize attacks targeting three domains: anonymous data (lin…

cs.DC2022

A Survey of Distributed Ledger Technology for IoT Verticals

Rongxin Xu, Qiujun Lan, Shiva Raj Pokhrel +1

The Internet of Things (IoT) and Distributed ledger technology (DLT) have significantly changed our daily lives. Due to their distributed operational environment and naturally dece…

cs.DC2022★ 2 cited

FAIR-BFL: Flexible and Incentive Redesign for Blockchain-based Federated Learning

Rongxin Xu, Shiva Raj Pokhrel, Qiujun Lan +1

Vanilla Federated learning (FL) relies on the centralized global aggregation mechanism and assumes that all clients are honest. This makes it a challenge for FL to alleviate the si…

cs.CR2022

Distributed Differentially Private Ranking Aggregation

Baobao Song, Qiujun Lan, Yang Li +1

Ranking aggregation is commonly adopted in cooperative decision-making to assist in combining multiple rankings into a single representative. To protect the actual ranking of each…