Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning

[PDF] arxiv.org

Systemization of Knowledge (SoK)-Cross Impact of Transfer Learning in Cybersecurity: Offensive, Defensive and Threat Intelligence Perspectives

S Makar, A Dehghantanha, F Zarrinkalam… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent literature highlights a significant cross-impact between transfer learning and
cybersecurity. Many studies have been conducted on using transfer learning to enhance …
被引用次数：2 相关文章 所有 2 个版本
[PDF] arxiv.org

FedMAC: Tackling Partial-Modality Missing in Federated Learning with Cross-Modal Aggregation and Contrastive Regularization

MD Nguyen, TT Nguyen, HH Pham, TN Hoang… - arXiv preprint arXiv …, 2024 - arxiv.org
Federated Learning (FL) is a method for training machine learning models using distributed
data sources. It ensures privacy by allowing clients to collaboratively learn a shared global …
相关文章 所有 2 个版本