The evolution of distributed systems for graph neural networks and their origin in graph processing and deep learning: A survey

J Vatter, R Mayer, HA Jacobsen - ACM Computing Surveys, 2023 - dl.acm.org
Graph neural networks (GNNs) are an emerging research field. This specialized deep
neural network architecture is capable of processing graph structured data and bridges the …

A comprehensive survey of privacy-preserving federated learning: A taxonomy, review, and future directions

X Yin, Y Zhu, J Hu - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
The past four years have witnessed the rapid development of federated learning (FL).
However, new privacy concerns have also emerged during the aggregation of the …

Privacy preserving machine learning with homomorphic encryption and federated learning

H Fang, Q Qian - Future Internet, 2021 - mdpi.com
Privacy protection has been an important concern with the great success of machine
learning. In this paper, it proposes a multi-party privacy preserving machine learning …

{BatchCrypt}: Efficient homomorphic encryption for {Cross-Silo} federated learning

C Zhang, S Li, J **a, W Wang, F Yan, Y Liu - 2020 USENIX annual …, 2020 - usenix.org
Cross-silo federated learning (FL) enables organizations (eg, financial, or medical) to
collaboratively train a machine learning model by aggregating local gradient updates from …

A survey on federated learning systems: Vision, hype and reality for data privacy and protection

Q Li, Z Wen, Z Wu, S Hu, N Wang, Y Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
As data privacy increasingly becomes a critical societal concern, federated learning has
been a hot research topic in enabling the collaborative training of machine learning models …

Federated machine learning: Concept and applications

Q Yang, Y Liu, T Chen, Y Tong - ACM Transactions on Intelligent …, 2019 - dl.acm.org
Today's artificial intelligence still faces two major challenges. One is that, in most industries,
data exists in the form of isolated islands. The other is the strengthening of data privacy and …