IoT-based big data storage systems in cloud computing: perspectives and challenges

H Cai, B Xu, L Jiang… - IEEE Internet of Things …, 2016 - ieeexplore.ieee.org
Internet of Things (IoT) related applications have emerged as an important field for both
engineers and researchers, reflecting the magnitude and impact of data-related problems to …

Accelerated federated learning with decoupled adaptive optimization

J **, J Ren, Y Zhou, L Lyu, J Liu… - … on Machine Learning, 2022 - proceedings.mlr.press
The federated learning (FL) framework enables edge clients to collaboratively learn a
shared inference model while kee** privacy of training data on clients. Recently, many …

Aedfl: efficient asynchronous decentralized federated learning with heterogeneous devices

J Liu, T Che, Y Zhou, R **, H Dai, D Dou… - Proceedings of the 2024 …, 2024 - SIAM
Federated Learning (FL) has achieved significant achievements recently, enabling
collaborative model training on distributed data over edge devices. Iterative gradient or …

Integrated defense for resilient graph matching

J Ren, Z Zhang, J **, X Zhao, S Wu… - International …, 2021 - proceedings.mlr.press
A recent study has shown that graph matching models are vulnerable to adversarial
manipulation of their input which is intended to cause a mismatching. Nevertheless, there is …