Yuwei Sun

Feature Distribution Matching for Federated Domain Generalization

2022 · arXiv (Cornell University)

<p>Multi-source domain adaptation has been intensively studied. The distribution shift in features inherent to specific domains causes the negative transfer problem, degrading a model’s generality to unseen tasks. In Federated Learning (FL), learned model parameters …

Homogeneous Learning: Self-Attention Decentralized Deep Learning

2021

Federated learning (FL) has been facilitating privacy-preserving deep learning in many walks of life such as medical image classification, network intrusion detection, and so forth. Whereas it necessitates a central parameter server for model aggregation, …

Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis

2022 · 2022 International Joint Conference on Neural Networks (IJCNN)

Model poisoning attacks on federated learning intrude in the entire system via compromising an edge model, resulting in malfunctioning of machine learning models. Such compromised models are tampered with to perform adversary-desired behaviors. In particular, …