A Systematic Literature Review on Federated Machine Learning: From A
Software Engineering Perspective

A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective

22 July 2020

Liming Zhu

Papers citing "A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective"

8 / 8 papers shown

Title
An investigation of licensing of datasets for machine learning based on the GQM model Junyu Chen Norihiro Yoshida Hiroaki Takada 33 2 0 24 Mar 2023
FederatedTrust: A Solution for Trustworthy Federated Learning Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Ning Xie Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller 36 21 0 20 Feb 2023
Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future Directions Qiang Duan Shijing Hu Ruijun Deng Zhihui Lu FedML 31 61 0 20 Jul 2022
Decision Models for Selecting Federated Learning Architecture Patterns Sin Kit Lo Qinghua Lu Hye-Young Paik Liming Zhu AI4CE FedML 34 0 0 28 Apr 2022
FLRA: A Reference Architecture for Federated Learning Systems Sin Kit Lo Qinghua Lu Hye-Young Paik Liming Zhu FedML AI4CE 47 24 0 22 Jun 2021
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 202 434 0 04 Mar 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 760 0 28 Sep 2019
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,687 0 14 Apr 2018