[HTML][HTML] 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 …
Resource optimization for blockchain-based federated learning in mobile edge computing
With the booming of mobile edge computing (MEC) and blockchain-based federated
learning (BCFL), more studies suggest deploying BCFL on edge servers. In this case, edge …
learning (BCFL), more studies suggest deploying BCFL on edge servers. In this case, edge …
PA-iMFL: Communication-Efficient Privacy Amplification Method against Data Reconstruction Attack in Improved Multi-Layer Federated Learning
Recently, big data has seen explosive growth in the Internet of Things (IoT). Multi-layer FL
(MFL) based on cloud-edge-end architecture can promote model training efficiency and …
(MFL) based on cloud-edge-end architecture can promote model training efficiency and …
Low-Latency Hierarchical Federated Learning in Wireless Edge Networks
L Su, R Zhou, N Wang, J Chen… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Hierarchical federated learning (HFL) has recently emerged as a more practical machine
learning (ML) paradigm, which enables edge servers (ESs) in close proximity to conduct …
learning (ML) paradigm, which enables edge servers (ESs) in close proximity to conduct …
A Hybrid Clustered Approach for Enhanced Communication and Model Performance in Blockchain-Based Collaborative Learning
Z Wang, M Hisada, AB Abdallah - IEEE Access, 2024 - ieeexplore.ieee.org
Collaborative edge learning has emerged in various domains like vehicular networks and
medical care, allowing local model training on edge devices while preserving privacy. The …
medical care, allowing local model training on edge devices while preserving privacy. The …
PoFEL: Energy-efficient Consensus for Blockchain-based Hierarchical Federated Learning
Facilitated by mobile edge computing, client-edge-cloud hierarchical federated learning
(HFL) enables communication-efficient model training in a widespread area but also incurs …
(HFL) enables communication-efficient model training in a widespread area but also incurs …
[PDF][PDF] PRIVACY-PRESERVING FEDERATED LEARNING FOR SECURE IOT DATA PROCESSING AT THE EDGE
R Saranya, R Saminathan, N Palanivel - zgsyjgysyhgjs.cn
This research aims to advance the frontier of secure and privacy-centric data processing at
the edge of the ever-evolving landscape of the Internet of Things (IoT). We concentrate on …
the edge of the ever-evolving landscape of the Internet of Things (IoT). We concentrate on …