Tsing
Tsing
PFLlib
We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study
TLSAN
This is our implementation for our paper: TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation
FL-IoT
This is a platform containing the datasets and federated learning algorithms in IoT environments.
FedALA
AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
FedCP
KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy
HtFLlib
You only need to configure one file to support model heterogeneity scenarios.
FedKTL
CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning
FedTGP
AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning
DBE
NeurIPS 2023 accepted paper, Eliminating Domain Bias for Federated Learning in Representation Space
GPFL
ICCV 2023 accepted paper, GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning