7 citations · 30 across the 15 of their papers we have counts for
6 papers · 1 filter
Zero-Knowledge Federated Learning: A New Trustworthy and Privacy-Preserving Distributed Learning Paradigm
Taotao Wang, Yuxin Jin, Qing Yang +3
Federated Learning (FL) has emerged as a promising paradigm in distributed machine learning, enabling collaborative model training while preserving data privacy. However, despite i…
A Survey of Zero-Knowledge Proof Based Verifiable Machine Learning
Zhizhi Peng, Chonghe Zhao, Taotao Wang +7
Machine learning is increasingly deployed through outsourced and cloud-based pipelines, which improve accessibility but also raise concerns about computational integrity, data priv…
Programming on Bitcoin: A Survey of Layer 1 and Layer 2 Technologies in Bitcoin Ecosystem
Guofu Liao, Taotao Wang, Qing Yang +7
This paper surveys innovative protocols that enhance the programming functionality of the Bitcoin blockchain, a key part of the "Bitcoin Ecosystem." Bitcoin utilizes the Unspent Tr…
Linking Souls to Humans: Blockchain Accounts with Credible Anonymity for Web 3.0 Decentralized Identity
Taotao Wang, Zibin Lin, Shengli Zhang +3
A decentralized identity system that can provide users with self-sovereign digital identities to facilitate complete control over their own data is paramount to Web 3.0. The accoun…
Secure Blockchain Platform for Industrial IoT with Trusted Computing Hardware
Qing Yang, Hao Wang, Xiaoxiao Wu +3
As a disruptive technology that originates from cryptocurrency, blockchain provides a trusted platform to facilitate industrial IoT (IIoT) applications. However, implementing a blo…
Pooling is not Favorable: Decentralize Mining Power of PoW Blockchain Using Age-of-Work
Long Shi, Taotao Wang, Jun Li +1
In Proof-of-Work (PoW) blockchains, the average waiting time to generate a block is inversely proportional to the computing power of the miner. To reduce the average block generati…