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PFLlib
We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) studyFedALA
AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated LearningHtFLlib
Configure one file for model heterogeneity. Consistent GPU memory usage for single or multiple clients.FL-IoT
This is a platform containing the datasets and federated learning algorithms in IoT environments.FedTGP
AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated LearningFedCP
KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional PolicyFedKTL
CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated LearningGPFL
ICCV 2023 accepted paper, GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated LearningDBE
NeurIPS 2023 accepted paper, Eliminating Domain Bias for Federated Learning in Representation SpaceSHAN
This is the implementation for the paper: Sequential Recommender System based on Hierarchical Attention NetworkICE6405P-260-M01
Course materialsLSPM
This is the implementation for the paper: Online Personalized Next-Item Recommendation via Long Short Term Preference LearningTsingZ0
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