Pinned Repositories
DBE
NeurIPS 2023 accepted paper, Eliminating Domain Bias for Federated Learning in Representation Space
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
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
FedL2G
FedL2G: Learning to Guide Local Training 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
FL-IoT
This is a platform containing the datasets and federated learning algorithms in IoT environments.
HtFLlib
You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.
PFLlib
37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 24 datasets. www.pfllib.com/
TLSAN
This is our implementation for our paper: TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation
TsingZ0's Repositories
TsingZ0/PFLlib
37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 24 datasets. www.pfllib.com/
TsingZ0/HtFLlib
You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.
TsingZ0/FedALA
AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
TsingZ0/FL-IoT
This is a platform containing the datasets and federated learning algorithms in IoT environments.
TsingZ0/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
TsingZ0/FedTGP
AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning
TsingZ0/TLSAN
This is our implementation for our paper: TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation
TsingZ0/FedCP
KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy
TsingZ0/DBE
NeurIPS 2023 accepted paper, Eliminating Domain Bias for Federated Learning in Representation Space
TsingZ0/GPFL
ICCV 2023 accepted paper, GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning
TsingZ0/SHAN
This is the implementation for the paper: Sequential Recommender System based on Hierarchical Attention Network
TsingZ0/FedL2G
FedL2G: Learning to Guide Local Training in Heterogeneous Federated Learning
TsingZ0/ICE6405P-260-M01
Course materials
TsingZ0/LSPM
This is the implementation for the paper: Online Personalized Next-Item Recommendation via Long Short Term Preference Learning
TsingZ0/TsingZ0
About me.
TsingZ0/BSTS
This is the implementation for Web Search & Mining course, which contains data crawling (Ubuntu IRC data (2004~2021)) and preprocessing, boolean search, spell-correction with tolerant (fuzzy) search and simple web interface
TsingZ0/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
TsingZ0/flower
Flower: A Friendly Federated AI Framework
TsingZ0/loss-landscape
Code for visualizing the loss landscape of neural nets