Summary of Advances and Open Challenges in Federated Foundation Models, by Chao Ren et al.
Advances and Open Challenges in Federated Foundation Modelsby Chao Ren, Han Yu, Hongyi Peng, Xiaoli…
Advances and Open Challenges in Federated Foundation Modelsby Chao Ren, Han Yu, Hongyi Peng, Xiaoli…
Feature Distribution Shift Mitigation with Contrastive Pretraining for Intrusion Detectionby Weixing Wang, Haojin Yang, Christoph…
Large-Scale Multipurpose Benchmark Datasets For Assessing Data-Driven Deep Learning Approaches For Water Distribution Networksby Andres…
Driver Activity Classification Using Generalizable Representations from Vision-Language Modelsby Ross Greer, Mathias Viborg Andersen, Andreas…
Graph Machine Learning in the Era of Large Language Models (LLMs)by Wenqi Fan, Shijie Wang,…
MultiSTOP: Solving Functional Equations with Reinforcement Learningby Alessandro Trenta, Davide Bacciu, Andrea Cossu, Pietro FerreroFirst…
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networksby Zhe Zhao, Pengkun Wang, Xu Wang,…
Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Databy Dayananda Herurkar, Sebastian Palacio, Ahmed Anwar, Joern…
Integrating Heterogeneous Gene Expression Data through Knowledge Graphs for Improving Diabetes Predictionby Rita T. Sousa,…
Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Modelby Xu Han,…