activity
20192025
most citedAdvances in Robust Federated Learning: A Survey with Heterogeneity Considerations

51 citations · 67 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2025

Track and Trace: Automatically Uncovering Cross-chain Transactions in the Multi-blockchain Ecosystems

Dan Lin, Ziye Zheng, Jiajing Wu +5

Cross-chain technology enables seamless asset transfer and message-passing within decentralized finance (DeFi) ecosystems, facilitating multi-chain coexistence in the current block…

cs.SE2024★ 3 cited

A Survey on Failure Analysis and Fault Injection in AI Systems

Guangba Yu, Gou Tan, Haojia Huang +4

The rapid advancement of Artificial Intelligence (AI) has led to its integration into various areas, especially with Large Language Models (LLMs) significantly enhancing capabiliti…

cs.LG2024

Fair Graph Representation Learning via Sensitive Attribute Disentanglement

Yuchang Zhu, Jintang Li, Zibin Zheng +1

Group fairness for Graph Neural Networks (GNNs), which emphasizes algorithmic decisions neither favoring nor harming certain groups defined by sensitive attributes (e.g., race and…

cs.LG2024★ 51 cited

Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations

Chuan Chen, Tianchi Liao, Xiaojun Deng +3

In the field of heterogeneous federated learning (FL), the key challenge is to efficiently and collaboratively train models across multiple clients with different data distribution…

cs.CR2019★ 13 cited

XBlock-ETH: Extracting and Exploring Blockchain Data From Ethereum

Peilin Zheng, Zibin Zheng, Hong-ning Dai

Blockchain-based cryptocurrencies have received extensive attention recently. Massive data has been stored on permission-less blockchains. The analysis on massive blockchain data c…