Titlebook: Web and Big Data; 8th International Jo Wenjie Zhang,Anthony Tung,Hongjie Guo Conference proceedings 2024 The Editor(s) (if applicable) and

Aerate

Monolithic

Jiatong He,Libing Wu,Zhuangzhuang Zhang,Na Lu,Xuejiang Wei

voluble

FLIC

陳舊

清楚

Budget

Dual-Contrastive Multi-view Clustering Under the Guidance of Global Similarity and Pseudo-label consensus representation among samples to obtain global high-level features and pseudo-labels. Then, contrast global high-level features and pseudo-labels with view-specific high-level features and semantic labels respectively, where global similarity guides feature-level contrast, which reduces th

Gudgeon

A Powerful Local Search Method for?Minimum Steiner Tree Problemreplacing vertices and paths. Extensive experiments over the widely used benchmarks, including both real and synthetic graphs, demonstrate that our methods outperform the state-of-the-art local search algorithms significantly.

Ambulatory

inveigh

Client Evaluation and?Revision in?Federated Learning: Towards Defending Free-Riders and?Promoting Faers they upload. We introduce the concept?of a parameter client contribution score (CCS) to quantitatively assess client involvement. CCS plays a dual role in dynamically regulating both the share of parameters contributed by clients during the?model aggregation phase and the quality of models they