Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges
Federated Learning (FL) offers innovative solutions for privacy-preserving collaborative
machine learning (ML). Despite its promising potential, FL is vulnerable to various attacks …
machine learning (ML). Despite its promising potential, FL is vulnerable to various attacks …
A survey on blockchain-based federated learning
L Wu, W Ruan, J Hu, Y He - Future Internet, 2023 - mdpi.com
Federated learning (FL) and blockchains exhibit significant commonality, complementarity,
and alignment in various aspects, such as application domains, architectural features, and …
and alignment in various aspects, such as application domains, architectural features, and …
Blockchain in clinical trials: Bibliometric and network studies of applications, challenges, and future prospects based on data analytics
This study conducts a comprehensive analysis on the usage of the blockchain technology in
clinical trials, based on a curated corpus of 107 scientific articles from the year 2016 through …
clinical trials, based on a curated corpus of 107 scientific articles from the year 2016 through …
[HTML][HTML] Blockchain-Based Privacy Preservation for the Internet of Medical Things: A Literature Review
The Internet of Medical Things (IoMT) is a rapidly expanding network comprising medical
devices, sensors, and software that collect and exchange patient health data. Today, the …
devices, sensors, and software that collect and exchange patient health data. Today, the …
A multifaceted survey on federated learning: Fundamentals, paradigm shifts, practical issues, recent developments, partnerships, trade-offs, trustworthiness, and ways …
A Majeed, SO Hwang - IEEE Access, 2024 - ieeexplore.ieee.org
Federated learning (FL) is considered a de facto standard for privacy preservation in AI
environments because it does not require data to be aggregated in some central place to …
environments because it does not require data to be aggregated in some central place to …
An efficient routing algorithm for self-organizing networks in 5G-based intelligent transportation systems
The rapid growth of the consumer Internet of Things (CIoT) has resulted in substantial
enhancements in networking and data analytics. The emergence of customer-centric …
enhancements in networking and data analytics. The emergence of customer-centric …
[PDF][PDF] An Efficient Routing Algorithm for Self-Organizing Networks in 5G-Based Intelligent Transportation Systems.
Things (CIoT) has resulted in substantial enhancements in networking and data analytics.
The emergence of customercentric communication technologies like mobile ad hoc …
The emergence of customercentric communication technologies like mobile ad hoc …
Personalized Federated Graph Learning on Non-IID Electronic Health Records
Understanding the latent disease patterns embedded in electronic health records (EHRs) is
crucial for making precise and proactive healthcare decisions. Federated graph learning …
crucial for making precise and proactive healthcare decisions. Federated graph learning …
Privacy-preserving in Blockchain-based Federated Learning systems
Federated Learning (FL) has recently arisen as a revolutionary approach to collaborative
training Machine Learning models. According to this novel framework, multiple participants …
training Machine Learning models. According to this novel framework, multiple participants …
Co-Training-Based Personalized Federated Learning With Generative Adversarial Networks for Enhanced Mobile Smart Healthcare Diagnosis
The widespread implementation of Artificial Itelligence (AI) has led to significant
advancements in disease diagnosis. Personalized Federated Learning (FL) trains models …
advancements in disease diagnosis. Personalized Federated Learning (FL) trains models …