51 citations · 79 across the 7 of their papers we have counts for
8 papers
ParaAegis: Parallel Protection for Flexible Privacy-preserved Federated Learning
Zihou Wu, Yuecheng Li, Tianchi Liao +2
Federated learning (FL) faces a critical dilemma: existing protection mechanisms like differential privacy (DP) and homomorphic encryption (HE) enforce a rigid trade-off, forcing a…
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…
FedBRB: An Effective Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning
Ziyue Xu, Mingfeng Xu, Tianchi Liao +2
Recently, the success of large models has demonstrated the importance of scaling up model size. This has spurred interest in exploring collaborative training of large-scale models…
Tokenized Model: A Blockchain-Empowered Decentralized Model Ownership Verification Platform
Yihao Li, Yanyi Lai, Tianchi Liao +2
With the development of practical deep learning models like generative AI, their excellent performance has brought huge economic value. For instance, ChatGPT has attracted more tha…
Migrate Demographic Group For Fair GNNs
YanMing Hu, TianChi Liao, JiaLong Chen +3
Graph Neural networks (GNNs) have been applied in many scenarios due to the superior performance of graph learning. However, fairness is always ignored when designing GNNs. As a co…
Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond
Chuan Chen, Zhenpeng Wu, Yanyi Lai +3
Artificial Intelligence Generated Content (AIGC) is one of the latest achievements in AI development. The content generated by related applications, such as text, images and audio,…
When Digital Economy Meets Web3.0: Applications and Challenges
Chuan Chen, Lei Zhang, Yihao Li +5
With the continuous development of web technology, Web3.0 has attracted a considerable amount of attention due to its unique decentralized characteristics. The digital economy is a…
Tensor Completion via Convolutional Sparse Coding Regularization
Zhebin Wu, Tianchi Liao, Chuan Chen +3
Tensor data often suffer from missing value problem due to the complex high-dimensional structure while acquiring them. To complete the missing information, lots of Low-Rank Tensor…