Lightweight Blockchain-Empowered Secure and Efficient Federated Edge Learning

FedFly: Toward Migration in Edge-Based Distributed Federated Learning

(2022) Rehmat Ullah et al.   IEEE COMMUNICATIONS MAGAZINE

SPDL: A Blockchain-Enabled Secure and Privacy-Preserving Decentralized Learning System

(2022) Minghui Xu et al.   IEEE TRANSACTIONS ON COMPUTERS

Cloud, Fog, or Edge: Where to Compute?

(2021) Dragi Kimovski et al.   IEEE INTERNET COMPUTING

BAFL: A Blockchain-Based Asynchronous Federated Learning Framework

(2021) Lei Feng et al.   IEEE TRANSACTIONS ON COMPUTERS

Averaging Is Probably Not the Optimum Way of Aggregating Parameters in Federated Learning

(2020) Peng Xiao et al.   Entropy

Reliable Federated Learning for Mobile Networks

(2020) Jiawen Kang et al.   IEEE WIRELESS COMMUNICATIONS

Decentralized Privacy Using Blockchain-Enabled Federated Learning in Fog Computing

(2020) Youyang Qu et al.   IEEE Internet of Things Journal

Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices

(2020) Yang Zhao et al.   IEEE Internet of Things Journal

A Blockchained Federated Learning Framework for Cognitive Computing in Industry 4.0 Networks

(2020) Youyang Qu et al.   IEEE Transactions on Industrial Informatics

Biscotti: A Blockchain System for Private and Secure Federated Learning

(2020) Muhammad Shayan et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

Wireless Network Intelligence at the Edge

(2019) Jihong Park et al.   PROCEEDINGS OF THE IEEE

Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT

(2019) Yunlong Lu et al.   IEEE Transactions on Industrial Informatics