51 citations · 53 across the 2 of their papers we have counts for
2 papers
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.LG2023★ 2 cited
Multi-View Clustering from the Perspective of Mutual Information
Fu Lele, Zhang Lei, Wang Tong +3
Exploring the complementary information of multi-view data to improve clustering effects is a crucial issue in multi-view clustering. In this paper, we propose a novel model based…