A survey on federated learning

A Privacy-Preserving Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition

(2020) Chen Zhang et al.   Frontiers in Neurorobotics

A Survey on Differentially Private Machine Learning [Review Article]

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

Federated Learning via Over-the-Air Computation

(2020) Kai Yang et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

A Crowdsourcing Framework for On-Device Federated Learning

(2020) Shashi Raj Pandey et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

Federated Learning Over Wireless Fading Channels

(2020) Mohammad Mohammadi Amiri et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

Reliable Federated Learning for Mobile Networks

(2020) Jiawen Kang et al.   IEEE WIRELESS COMMUNICATIONS

Federated Learning With Cooperating Devices: A Consensus Approach for Massive IoT Networks

(2020) Stefano Savazzi et al.   IEEE Internet of Things Journal

Lightwave Power Transfer for Federated Learning-Based Wireless Networks

(2020) Ha-Vu Tran et al.   IEEE COMMUNICATIONS LETTERS

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

(2020) Solmaz Niknam et al.   IEEE COMMUNICATIONS MAGAZINE

On Safeguarding Privacy and Security in the Framework of Federated Learning

(2020) Chuan Ma et al.   IEEE NETWORK

Robust Federated Learning With Noisy Communication

(2020) Fan Ang et al.   IEEE TRANSACTIONS ON COMMUNICATIONS

A Secure Federated Transfer Learning Framework

(2020) Yang Liu et al.   IEEE INTELLIGENT SYSTEMS

Secure collaborative few-shot learning

(2020) Yu Xie et al.   KNOWLEDGE-BASED SYSTEMS

Customized Federated Learning for accelerated edge computing with heterogeneous task targets

(2020) Hui Jiang et al.   Computer Networks

Federated Machine Learning

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

From Discovery to Practice and Survivorship: Building a National Real‐World Data Learning Healthcare Framework for Military and Veteran Cancer Patients

(2019) Jerry S.H. Lee et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

Adaptive Federated Learning in Resource Constrained Edge Computing Systems

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

Coded Computation Over Heterogeneous Clusters

(2019) Amirhossein Reisizadeh et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Privacy-enhanced multi-party deep learning

(2019) Maoguo Gong et al.   NEURAL NETWORKS

Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data

(2019) Felix Sattler et al.   IEEE Transactions on Neural Networks and Learning Systems

Privacy in the age of medical big data

(2018) W. Nicholson Price et al.   NATURE MEDICINE

Perturbed Iterate Analysis for Asynchronous Stochastic Optimization

(2017) Horia Mania et al.   SIAM JOURNAL ON OPTIMIZATION

A Proof of Security of Yao’s Protocol for Two-Party Computation

(2008) Yehuda Lindell et al.   JOURNAL OF CRYPTOLOGY