A Comprehensive Survey of Privacy-preserving Federated Learning

Privacy preserving distributed machine learning with federated learning

(2021) M.A.P. Chamikara et al.   COMPUTER COMMUNICATIONS

Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning

(2021) Anis Elgabli et al.   IEEE TRANSACTIONS ON COMMUNICATIONS

Anonymous and Privacy-Preserving Federated Learning With Industrial Big Data

(2021) Bin Zhao et al.   IEEE Transactions on Industrial Informatics

A Survey on Distributed Machine Learning

(2020) Joost Verbraeken et al.   ACM COMPUTING SURVEYS

A Survey on Differentially Private Machine Learning [Review Article]

(2020) Maoguo Gong et al.   IEEE Computational Intelligence Magazine

Federated Learning: Challenges, Methods, and Future Directions

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

Adaptive privacy-preserving federated learning

(2020) Xiaoyuan Liu et al.   Peer-to-Peer Networking and Applications

FedOpt: Towards Communication Efficiency and Privacy Preservation in Federated Learning

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

IFed: A novel federated learning framework for local differential privacy in Power Internet of Things

(2020) Hui Cao et al.   International Journal of Distributed Sensor Networks

Preserving Data Privacy via Federated Learning: Challenges and Solutions

(2020) Zengpeng Li et al.   IEEE Consumer Electronics Magazine

EaSTFLy: Efficient and secure ternary federated learning

(2020) Ye Dong et al.   COMPUTERS & SECURITY

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

(2020) Solmaz Niknam et al.   IEEE COMMUNICATIONS MAGAZINE

Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy

(2020) Nuria Rodríguez-Barroso et al.   Information Fusion

Privacy-preserving federated k-means for proactive caching in next generation cellular networks

(2020) Yang Liu et al.   INFORMATION SCIENCES

A Secure Federated Transfer Learning Framework

(2020) Yang Liu et al.   IEEE INTELLIGENT SYSTEMS

SMSS: Secure Member Selection Strategy in Federated Learning

(2020) Kun Zhao et al.   IEEE INTELLIGENT SYSTEMS

Joint Intelligence Ranking by Federated Multiplicative Update

(2020) Chi Zhang et al.   IEEE INTELLIGENT SYSTEMS

Preserving User Privacy for Machine Learning: Local Differential Privacy or Federated Machine Learning?

(2020) Huadi Zheng et al.   IEEE INTELLIGENT SYSTEMS

Analyzing User-Level Privacy Attack Against Federated Learning

(2020) Mengkai Song et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

Cyber security meets artificial intelligence: a survey

(2019) Jian-hua Li   Frontiers of Information Technology & Electronic Engineering

Adaptive Federated Learning in Resource Constrained Edge Computing Systems

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

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

(2019) Xiaofei Wang et al.   IEEE NETWORK

Privacy-Preserving Deep Learning via Weight Transmission

(2019) Le Trieu Phong et al.   IEEE Transactions on Information Forensics and Security

Differentially Private Asynchronous Federated Learning for Mobile Edge Computing in Urban Informatics

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

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

(2019) Yongfeng Qian et al.   INFORMATION SCIENCES

Multiplicative perturbation bounds for the block Cholesky downdating problem

(2019) Aamir Farooq et al.   INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS

Privacy-preserving big data analytics a comprehensive survey

(2019) Hong-Yen Tran et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

Comparison and Modelling of Country-level Microblog User and Activity in Cyber-physical-social Systems Using Weibo and Twitter Data

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

Achieving Personalized $k$-Anonymity-Based Content Privacy for Autonomous Vehicles in CPS

(2019) Jinbao Wang et al.   IEEE Transactions on Industrial Informatics

Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence

(2019) Meng Hao et al.   IEEE Transactions on Industrial Informatics

3D Fingerprint Recognition based on Ridge-Valley-Guided 3D Reconstruction and 3D Topology Polymer Feature Extraction

(2019) Xuefei Yin et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Demystifying Membership Inference Attacks in Machine Learning as a Service

(2019) Stacey Truex et al.   IEEE Transactions on Services Computing

Technical Privacy Metrics

(2018) Isabel Wagner et al.   ACM COMPUTING SURVEYS

Privacy-Preserving Deep Learning via Additively Homomorphic Encryption

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

$\textsf{LoPub}$ : High-Dimensional Crowdsourced Data Publication With Local Differential Privacy

(2018) Xuebin Ren et al.   IEEE Transactions on Information Forensics and Security

Distributed learning of deep neural network over multiple agents

(2018) Otkrist Gupta et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Privacy-Preserving Algorithms for Multiple Sensitive Attributes Satisfying t-Closeness

(2018) Rong Wang et al.   JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY

The Composition Theorem for Differential Privacy

(2017) Peter Kairouz et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Energy Big Data Analytics and Security: Challenges and Opportunities

(2016) Jiankun Hu et al.   IEEE Transactions on Smart Grid

Enabling Efficient Multi-Keyword Ranked Search Over Encrypted Mobile Cloud Data Through Blind Storage

(2015) Hongwei Li et al.   IEEE Transactions on Emerging Topics in Computing

Privacy-preserving data publishing

(2010) Benjamin C. M. Fung et al.   ACM COMPUTING SURVEYS

A firm foundation for private data analysis

(2010) Cynthia Dwork   COMMUNICATIONS OF THE ACM

Domain Adaptation via Transfer Component Analysis

(2010) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Strong (n,t,n) verifiable secret sharing scheme

(2010) Lein Harn et al.   INFORMATION SCIENCES

A Survey on Transfer Learning

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