HpGraphNEI: A network entity identification model based on heterophilous graph learning
N Li, T Li, Z Ma, X Hu, S Zhang, F Liu, X Quan… - Information Processing …, 2024 - Elsevier
Network entities have important asset mapping, vulnerability, and service delivery
applications. In cyberspace, where the network structure is complex and the number of …
applications. In cyberspace, where the network structure is complex and the number of …
FedDC: Label Noise Correction With Dynamic Clients for Federated Learning
TT Giap, TD Kieu, TL Le, TH Tran - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Federated learning (FL) is a distributed machine learning training paradigm that protects
user privacy by training with user data stored on a local device called a client. In real-world …
user privacy by training with user data stored on a local device called a client. In real-world …
FREB: Participant Selection in Federated Learning with Reputation Evaluation and Blockchain
J An, S Tang, X Sun, X Gui, X He… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Federated Learning (FL) offers a distributed machine learning framework that enables
collaborative model training across multiple data sources without the need to share raw …
collaborative model training across multiple data sources without the need to share raw …