A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection

SecureBoost: A Lossless Federated Learning Framework

(2021) Kewei Cheng et al.   IEEE INTELLIGENT SYSTEMS

Federated Learning: Challenges, Methods, and Future Directions

(2020) Tian Li et al.   IEEE SIGNAL PROCESSING MAGAZINE

Federated Learning for Wireless Communications: Motivation, Opportunities, and Challenges

(2020) Solmaz Niknam et al.   IEEE COMMUNICATIONS MAGAZINE

A training-integrity privacy-preserving federated learning scheme with trusted execution environment

(2020) Yu Chen et al.   INFORMATION SCIENCES

Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices

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

Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT

(2020) Weishan Zhang et al.   IEEE Internet of Things Journal

Byzantine-Resilient Secure Federated Learning

(2020) Jinhyun So et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

Local Differential Privacy-Based Federated Learning for Internet of Things

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

Federated Machine Learning

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

Adaptive Federated Learning in Resource Constrained Edge Computing Systems

(2019) Shiqiang Wang et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

Privacy Regulation Aware Process Mapping in Geo-Distributed Cloud Data Centers

(2019) Amelie Chi Zhou et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning

(2019) Xiaofei Wang et al.   IEEE NETWORK

Exploiting GPUs for Efficient Gradient Boosting Decision Tree Training

(2019) Zeyi Wen et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

Privacy-aware service placement for mobile edge computing via federated learning

(2019) Yongfeng Qian et al.   INFORMATION SCIENCES

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

XAI—Explainable artificial intelligence

(2019) David Gunning et al.   Science Robotics

Multi-Objective Evolutionary Federated Learning

(2019) Hangyu Zhu et al.   IEEE Transactions on Neural Networks and Learning Systems

Privacy-Preserving Deep Learning via Additively Homomorphic Encryption

(2018) Le Trieu Phong et al.   IEEE Transactions on Information Forensics and Security

Privacy-preserving ridge regression on distributed data

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

Data Lifecycle Challenges in Production Machine Learning

(2018) Neoklis Polyzotis et al.   SIGMOD RECORD

A Comprehensive Comparison of Multiparty Secure Additions with Differential Privacy

(2017) Slawomir Goryczka et al.   IEEE Transactions on Dependable and Secure Computing

Security and Privacy in Fog Computing: Challenges

(2017) Mithun Mukherjee et al.   IEEE Access

An overview of Fog computing and its security issues

(2015) Ivan Stojmenovic et al.   CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

A tutorial on Bayesian nonparametric models

(2011) Samuel J. Gershman et al.   JOURNAL OF MATHEMATICAL PSYCHOLOGY

Differential Privacy via Wavelet Transforms

(2010) Xiaokui Xiao et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Protecting Privacy Using k-Anonymity

(2008) Khaled El Emam et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION