A Critical Evaluation of Privacy and Security Threats in Federated Learning

FedOpt: Towards Communication Efficiency and Privacy Preservation in Federated Learning

(2020) Muhammad Asad et al.   Applied Sciences-Basel

On Safeguarding Privacy and Security in the Framework of Federated Learning

(2020) Chuan Ma et al.   IEEE NETWORK

Federated Forest

(2020) Yang Liu et al.   IEEE Transactions on Big Data

Federated Machine Learning

(2019) Qiang Yang et al.   ACM Transactions on Intelligent Systems and Technology

Incentive Mechanism for Reliable Federated Learning: A Joint Optimization Approach to Combining Reputation and Contract Theory

(2019) Jiawen Kang et al.   IEEE Internet of Things Journal

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

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

Privacy-preserving ridge regression on distributed data

(2018) Yi-Ruei Chen et al.   INFORMATION SCIENCES