13 citations · 76 across the 34 of their papers we have counts for
34 papers
Adaptive pruning-based Newton's method for distributed learning
Shuzhen Chen, Yuan Yuan, Youming Tao +3
Newton's method leverages curvature information to boost performance, and thus outperforms first-order methods for distributed learning problems. However, Newton's method is not pr…
VibHead: An Authentication Scheme for Smart Headsets through Vibration
Feng Li, Jiayi Zhao, Huan Yang +3
Recent years have witnessed the fast penetration of Virtual Reality (VR) and Augmented Reality (AR) systems into our daily life, the security and privacy issues of the VR/AR applic…
Exploring Blockchain Technology through a Modular Lens: A Survey
Minghui Xu, Yihao Guo, Chunchi Liu +5
Blockchain has attracted significant attention in recent years due to its potential to revolutionize various industries by providing trustlessness. To comprehensively examine block…
Byzantine-Resilient Federated Learning at Edge
Youming Tao, Sijia Cui, Wenlu Xu +4
Both Byzantine resilience and communication efficiency have attracted tremendous attention recently for their significance in edge federated learning. However, most existing algori…
Meta Computing
Xiuzhen Cheng, Minghui Xu, Runyu Pan +4
With the continuous improvement of information infrastructures, academia and industry have been constantly exploring new computing paradigms to fully exploit computing powers. In t…
FileDAG: A Multi-Version Decentralized Storage Network Built on DAG-based Blockchain
Hechuan Guo, Minghui Xu, Jiahao Zhang +4
Decentralized Storage Networks (DSNs) can gather storage resources from mutually untrusted providers and form worldwide decentralized file systems. Compared to traditional storage…
Cross-Channel: Scalable Off-Chain Channels Supporting Fair and Atomic Cross-Chain Operations
Yihao Guo, Minghui Xu, Dongxiao Yu +3
Cross-chain technology facilitates the interoperability among isolated blockchains on which users can freely communicate and transfer values. Existing cross-chain protocols suffer…
A Trustless Architecture of Blockchain-enabled Metaverse
Minghui Xu, Yihao Guo, Qin Hu +3
Metaverse has rekindled human beings' desire to further break space-time barriers by fusing the virtual and real worlds. However, security and privacy threats hinder us from buildi…
zk-PCN: A Privacy-Preserving Payment Channel Network Using zk-SNARKs
Wenxuan Yu, Minghui Xu, Dongxiao Yu +3
Payment channel network (PCN) is a layer-two scaling solution that enables fast off-chain transactions but does not involve on-chain transaction settlement. PCNs raise new privacy…
Nontrivial global solutions to some quasilinear wave equations in three space dimensions
Dongxiao Yu
In this paper, we seek to construct nontrivial global solutions to some quasilinear wave equations in three space dimensions. We first present a conditional result on the construct…
Online Learning for Failure-aware Edge Backup of Service Function Chains with the Minimum Latency
Chen Wang, Qin Hu, Dongxiao Yu +1
Virtual network functions (VNFs) have been widely deployed in mobile edge computing (MEC) to flexibly and efficiently serve end users running resource-intensive applications, which…
SPDL: Blockchain-secured and Privacy-preserving Decentralized Learning
Minghui Xu, Zongrui Zou, Ye Cheng +3
Decentralized learning involves training machine learning models over remote mobile devices, edge servers, or cloud servers while keeping data localized. Even though many studies h…
Collaborative Learning in General Graphs with Limited Memorization: Complexity, Learnability, and Reliability
Feng Li, Xuyang Yuan, Lina Wang +4
We consider a K-armed bandit problem in general graphs where agents are arbitrarily connected and each of them has limited memorizing capabilities and communication bandwidth. The…
A uniqueness theorem for 3D semilinear wave equations satisfying the null condition
Dongxiao Yu
In this paper, we prove a uniqueness theorem for a system of semilinear wave equations satisfying the null condition in . Suppose that two global solutions with $…
Decentralized Wireless Federated Learning with Differential Privacy
Shuzhen Chen, Dongxiao Yu, Yifei Zou +2
This paper studies decentralized federated learning algorithms in wireless IoT networks. The traditional parameter server architecture for federated learning faces some problems su…
Malware-on-the-Brain: Illuminating Malware Byte Codes with Images for Malware Classification
Fangtian Zhong, Zekai Chen, Minghui Xu +3
Malware is a piece of software that was written with the intent of doing harm to data, devices, or people. Since a number of new malware variants can be generated by reusing codes,…
Harnessing Context for Budget-Limited Crowdsensing with Massive Uncertain Workers
Feng Li, Jichao Zhao, Dongxiao Yu +2
Crowdsensing is an emerging paradigm of ubiquitous sensing, through which a crowd of workers are recruited to perform sensing tasks collaboratively. Although it has stimulated many…
CloudChain: A Cloud Blockchain Using Shared Memory Consensus and RDMA
Minghui Xu, Shuo Liu, Dongxiao Yu +3
Blockchain technologies can enable secure computing environments among mistrusting parties. Permissioned blockchains are particularly enlightened by companies, enterprises, and gov…
Extending On-chain Trust to Off-chain -- Trustworthy Blockchain Data Collection using Trusted Execution Environment (TEE)
Chunchi Liu, Hechuan Guo, Minghui Xu +4
Blockchain creates a secure environment on top of strict cryptographic assumptions and rigorous security proofs. It permits on-chain interactions to achieve trustworthy properties…
Asymptotic completeness for a scalar quasilinear wave equation satisfying the weak null condition
Dongxiao Yu
In this paper, we prove the first asymptotic completeness result for a scalar quasilinear wave equation satisfying the weak null condition. The main tool we use in the study of thi…
Tokoin: A Coin-Based Accountable Access Control Scheme for Internet of Things
Chunchi Liu, Minghui Xu, Hechuan Guo +7
With the prevalence of Internet of Things (IoT) applications, IoT devices interact closely with our surrounding environments, bringing us unparalleled smartness and convenience. Ho…
A Distributed Privacy-Preserving Learning Dynamics in General Social Networks
Youming Tao, Shuzhen Chen, Feng Li +3
In this paper, we study a distributed privacy-preserving learning problem in social networks with general topology. The agents can communicate with each other over the network, whi…
MalFox: Camouflaged Adversarial Malware Example Generation Based on Conv-GANs Against Black-Box Detectors
Fangtian Zhong, Xiuzhen Cheng, Dongxiao Yu +3
Deep learning is a thriving field currently stuffed with many practical applications and active research topics. It allows computers to learn from experience and to understand the…
Applications of Differential Privacy in Social Network Analysis: A Survey
Honglu Jiang, Jian Pei, Dongxiao Yu +3
Differential privacy is effective in sharing information and preserving privacy with a strong guarantee. As social network analysis has been extensively adopted in many application…