Security in Federated Learning Enabled 6g Era: A Review on Conceptual Techniques and Software Platforms Used for Research and Analysis
Federated Learning (FL) is an emerging Artificial Intelligence (AI) paradigm that enables
multiple parties to collaboratively train a model without sharing their data. With the upcoming …
multiple parties to collaboratively train a model without sharing their data. With the upcoming …
Towards trustworthy collaborative healthcare data sharing
M Firdaus, KH Rhee - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
The integration of healthcare and data-driven technologies offers remarkable opportunities
for medical research and patient care. However, it is crucial to adhere to the ethical …
for medical research and patient care. However, it is crucial to adhere to the ethical …
Quantum Federated Learning Experiments in the Cloud with Data Encoding
Quantum Federated Learning (QFL) is an emerging concept that aims to unfold federated
learning (FL) over quantum networks, enabling collaborative quantum model training along …
learning (FL) over quantum networks, enabling collaborative quantum model training along …
Introduction to quantum federated machine learning
Recent advances in both quantum computing and machine learning have focused
significant attention on efforts to combine these two fascinating technologies. The quantum …
significant attention on efforts to combine these two fascinating technologies. The quantum …
HQsFL: A Novel Training Strategy for Constructing High-performance and Quantum-safe Federated Learning
B Yu, H Shen, Q Xu, W He, W Mao, Q Zhang… - Proceedings of the 19th …, 2024 - dl.acm.org
Federated Learning (FL) has attracted increasing attention from both academia and industry
due to its merit of securely constructing AI models across multiple entities while preserving …
due to its merit of securely constructing AI models across multiple entities while preserving …
Robust quantum federated learning with noise
L Chen, L Yan, S Zhang - Physica Scripta, 2024 - iopscience.iop.org
Federated learning is a decentralized machine learning approach where multiple
participants collaboratively train machine learning models. With the development of …
participants collaboratively train machine learning models. With the development of …
Secure communication model for quantum federated learning: A post quantum cryptography (pqc) framework
arXiv:2304.13413v1 [cs.CR] 26 Apr 2023 Page 1 Will be Presented (Notable) at ICLR 2023
SECURE COMMUNICATION MODEL FOR QUANTUM FEDERATED LEARNING: APost …
SECURE COMMUNICATION MODEL FOR QUANTUM FEDERATED LEARNING: APost …
Personalized Federated Learning for Statistical Heterogeneity
M Firdaus, KH Rhee - arXiv preprint arXiv:2402.10254, 2024 - arxiv.org
The popularity of federated learning (FL) is on the rise, along with growing concerns about
data privacy in artificial intelligence applications. FL facilitates collaborative multi-party …
data privacy in artificial intelligence applications. FL facilitates collaborative multi-party …
Protection from a quantum computer cyber-attack: survey
Encryption is required to address the ongoing issue of information security within
communication networks. In the second part of the 20th century, quantum computing was …
communication networks. In the second part of the 20th century, quantum computing was …