Federated news recommendation with fine-grained interpolation and dynamic clustering

SL Yu, Q Liu, F Wang, Y Yu, E Chen - Proceedings of the 32nd ACM …, 2023 - dl.acm.org
Researchers have successfully adapted the privacy-preserving Federated Learning (FL) to
news recommendation tasks to better protect users' privacy, although typically at the cost of …

User Modeling and User Profiling: A Comprehensive Survey

E Purificato, L Boratto, EW De Luca - arXiv preprint arXiv:2402.09660, 2024 - arxiv.org
The integration of artificial intelligence (AI) into daily life, particularly through information
retrieval and recommender systems, has necessitated advanced user modeling and …

Client Selection in Hierarchical Federated Learning

S Trindade, NLS da Fonseca - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Federated Learning is a promising technique for providing distributed learning without
clients disclosing their private data. In Hierarchical Federated Learning, edge servers …

A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions

F Wang, W Gao, Q Liu, J Li, G Zhao, Z Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Cognitive diagnosis has been developed for decades as an effective measurement tool to
evaluate human cognitive status such as ability level and knowledge mastery. It has been …