Summary of Hierarchical Federated Learning in Multi-hop Cluster-based Vanets, by M. Saeid Haghighifard and Sinem Coleri
Hierarchical Federated Learning in Multi-hop Cluster-Based VANETsby M. Saeid HaghighiFard, Sinem ColeriFirst submitted to arxiv…
Hierarchical Federated Learning in Multi-hop Cluster-Based VANETsby M. Saeid HaghighiFard, Sinem ColeriFirst submitted to arxiv…
Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting…
Discovery of Generalizable TBI Phenotypes Using Multivariate Time-Series Clusteringby Hamid Ghaderi, Brandon Foreman, Chandan K.…
A Rapid Review of Clustering Algorithmsby Hui Yin, Amir Aryani, Stephen Petrie, Aishwarya Nambissan, Aland…
Optimization of Inter-group Criteria for Clustering with Minimum Size Constraintsby Eduardo S. Laber, Lucas MurtinhoFirst…
Minimally Supervised Learning using Topological Projections in Self-Organizing Mapsby Zimeng Lyu, Alexander Ororbia, Rui Li,…
Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clusteringby Pengfei Zhu, Qian…
CCFC: Bridging Federated Clustering and Contrastive Learningby Jie Yan, Jing Liu, Zhong-Yuan ZhangFirst submitted to…
Personalized Reinforcement Learning with a Budget of Policiesby Dmitry Ivanov, Omer Ben-PoratFirst submitted to arxiv…
Revisiting Silhouette Aggregationby John Pavlopoulos, Georgios Vardakas, Aristidis LikasFirst submitted to arxiv on: 11 Jan…