Communication-Efficient and Byzantine-Robust Federated Learning for Mobile Edge Computing Networks

Incentive Mechanisms in Federated Learning and A Game-Theoretical Approach

(2022) Rongfei Zeng et al.   IEEE NETWORK

LSFL: A Lightweight and Secure Federated Learning Scheme for Edge Computing

(2022) Zhuangzhuang Zhang et al.   IEEE Transactions on Information Forensics and Security

Keep Your Data Locally: Federated-Learning-Based Data Privacy Preservation in Edge Computing

(2021) Gaoyang Liu et al.   IEEE NETWORK

Byzantine Resistant Secure Blockchained Federated Learning at the Edge

(2021) Zonghang Li et al.   IEEE NETWORK

Fast Federated Learning by Balancing Communication Trade-Offs

(2021) Milad Khademi Nori et al.   IEEE TRANSACTIONS ON COMMUNICATIONS

FedMEC: Improving Efficiency of Differentially Private Federated Learning via Mobile Edge Computing

(2020) Jiale Zhang et al.   MOBILE NETWORKS & APPLICATIONS

Task Offloading for Mobile Edge Computing in Software Defined Ultra-Dense Network

(2018) Min Chen et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS