595 citations · 758 across the 22 of their papers we have counts for
6 papers · 1 filter
Privacy in Foundation Models: A Conceptual Framework for System Design
Tingting Bi, Guangsheng Yu, Qin Wang
AI and its relevant technologies, including machine learning, deep learning, chatbots, virtual assistants, and others, are currently undergoing a profound transformation of develop…
Bridging BRC-20 to Ethereum
Qin Wang, Guangsheng Yu, Shiping Chen
In this paper, we design, implement, and (partially-) evaluate a lightweight bridge (as a type of middleware) to connect the Bitcoin and Ethereum networks that were heterogeneously…
BRC-20: Hope or Hype
Qin Wang, Guangsheng Yu
BRC-20 (short for Bitcoin Request for Comment 20) token mania was a key storyline in the middle of 2023. Setting it apart from conventional ERC-20 token standards on Ethereum, BRC-…
Split Unlearning
Guangsheng Yu, Yanna Jiang, Qin Wang +5
We introduce Split Unlearning, a novel machine unlearning technology designed for Split Learning (SL), enabling the first-ever implementation of Sharded, Isolated, Sliced, and Aggr…
Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges
Linh T. Nguyen, Lam Duc Nguyen, Thong Hoang +7
Various data-sharing platforms have emerged with the growing public demand for open data and legislation mandating certain data to remain open. Most of these platforms remain opaqu…
IronForge: An Open, Secure, Fair, Decentralized Federated Learning
Guangsheng Yu, Xu Wang, Caijun Sun +5
Federated learning (FL) provides an effective machine learning (ML) architecture to protect data privacy in a distributed manner. However, the inevitable network asynchrony, the ov…