dual-grp/FedPCA_AnomalyDetection
FedPCA Anomaly Detection
Code release for federated PCA on Grassmann manifold for anomaly detection, associated with the ToN 2024 work.
- Python
- Federated PCA
- Anomaly detection
Open research
Explore implementations and research artifacts from DUAL work in federated learning, distributed optimization, anomaly detection, and efficient AI systems.
GitHub organization
The DUAL Group maintains its public research code and project repositories in one shared organization.
Selected repositories
dual-grp/FedPCA_AnomalyDetection
Code release for federated PCA on Grassmann manifold for anomaly detection, associated with the ToN 2024 work.
dual-grp/FedPCA_Abnormal_Detection
Code release for federated PCA on Grassmann manifold for anomaly detection in IoT networks, associated with INFOCOM 2023.
dual-grp/FeDEQ
Federated deep equilibrium learning code for compact global representations and personalized federated learning.
dual-grp/FedU_FMTL
Federated multitask learning implementation using Laplacian regularization and FedU-style optimization.
dual-grp/pFedMe
Personalized federated learning with Moreau envelopes for learning under statistical heterogeneity.
dual-grp/FedKO
Research code for Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection.