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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.TLSAN
This is our implementation for our paper: TLSAN: Time-aware Long- and Short-term Attention Network for Next-item RecommendationFedTGP
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 SpaceICE6405P-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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