Blockchained federated learning for internet of things: A comprehensive survey
The demand for intelligent industries and smart services based on big data is rising rapidly
with the increasing digitization and intelligence of the modern world. This survey …
with the increasing digitization and intelligence of the modern world. This survey …
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 …
Decentralized federated learning based on blockchain: concepts, framework, and challenges
Decentralized federated learning integrates advanced technologies, including distributed
computing and secure encryption methodologies, to facilitate a robust and efficient …
computing and secure encryption methodologies, to facilitate a robust and efficient …
Post-quantum secure identity-based signature scheme with lattice assumption for internet of things networks
The Internet of Things (IoT) plays an essential role in people's daily lives, such as
healthcare, home, traffic, industry, and so on. With the increase in IoT devices, there emerge …
healthcare, home, traffic, industry, and so on. With the increase in IoT devices, there emerge …
Blockchain-Based Federated Learning with Enhanced Privacy and Security Using Homomorphic Encryption and Reputation
Federated learning, leveraging distributed data from multiple nodes to train a common
model, allows for the use of more data to improve the model while also protecting the privacy …
model, allows for the use of more data to improve the model while also protecting the privacy …
Filling the missing: Exploring generative ai for enhanced federated learning over heterogeneous mobile edge devices
Distributed Artificial Intelligence (AI) model training over mobile edge networks encounters
significant challenges due to the data and resource heterogeneity of edge devices. The …
significant challenges due to the data and resource heterogeneity of edge devices. The …
Towards Privacy in Decentralized IoT: A Blockchain-Based Dual Response DP Mechanism
Differential Privacy (DP) stands as a secure and efficient mechanism for privacy
preservation, offering enhanced data utility without compromising computational complexity …
preservation, offering enhanced data utility without compromising computational complexity …
Digital Twin-Assisted Federated Learning with Blockchain in Multi-tier Computing Systems
In Industry 4.0 systems, a considerable number of resource-constrained Industrial Internet of
Things (IIoT) devices engage in frequent data interactions due to the necessity for model …
Things (IIoT) devices engage in frequent data interactions due to the necessity for model …
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 …
Blockchain-based federated learning utilizing zero-knowledge proofs for verifiable training and aggregation
Federated learning is a distributed learning technique that enables parties to train a model
collaboratively without disclosing their local data. To this end, a centralized aggregator …
collaboratively without disclosing their local data. To this end, a centralized aggregator …