Official PyTorch implementation of DENSE (NeurIPS 2022)
☆35Dec 11, 2022Updated 3 years ago
Alternatives and similar repositories for DENSE
Users that are interested in DENSE are comparing it to the libraries listed below
Sorting:
- Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)☆17Nov 2, 2023Updated 2 years ago
- MICCAI2023. "One-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model Adaptation"☆19Jan 24, 2024Updated 2 years ago
- The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)☆11Sep 3, 2023Updated 2 years ago
- ☆10Nov 21, 2023Updated 2 years ago
- FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis, Accept…☆21Feb 19, 2025Updated last year
- The implementation of FedCADO (Classifier-Assisted Diffusion for One-shot Federated learning method)☆11Sep 10, 2025Updated 6 months ago
- FedD3: Federated Learning via Decentralized Dataset Distillation☆31Apr 8, 2023Updated 2 years ago
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆28Oct 27, 2023Updated 2 years ago
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆16Aug 6, 2023Updated 2 years ago
- ☆21Apr 27, 2024Updated last year
- This is the code for "TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation" (ICCV 2023)☆52Apr 30, 2024Updated last year
- (NeurIPS 2024) One-shot Federated Learning via Synthetic Distiller-Distillate Communication☆18Mar 11, 2025Updated 11 months ago
- ☆11Dec 4, 2025Updated 3 months ago
- Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data☆11Dec 17, 2024Updated last year
- Federated Conformal Prediction with Quantile-of-Quantiles (FedCP-QQ)☆11Aug 16, 2023Updated 2 years ago
- paper code commit-fsmafl☆10Mar 18, 2024Updated last year
- ☆13Jan 12, 2024Updated 2 years ago
- ☆55Feb 23, 2024Updated 2 years ago
- ☆29Jun 12, 2023Updated 2 years ago
- End-to-end codebase for finetuning LLMs (LLaMA 2, 3, etc.) with or without DP☆16Sep 23, 2024Updated last year
- Code and data accompanying the FedGen paper☆258Oct 31, 2024Updated last year
- TensorFlow experiment codes of XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning (FL' ICML 2020)☆13Aug 10, 2020Updated 5 years ago
- Implementation of FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning☆19Jan 4, 2024Updated 2 years ago
- Paper: UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration☆16Dec 31, 2024Updated last year
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆63Dec 27, 2024Updated last year
- The official implementation for the paper: "FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification",…☆20Dec 24, 2023Updated 2 years ago
- [SatML 2024] Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk☆16Mar 15, 2025Updated 11 months ago
- ☆72Dec 8, 2025Updated 3 months ago
- ☆164Dec 23, 2022Updated 3 years ago
- Official repository for Towards Multi-modal Transformers in Federated Learning (ECCV2024)☆21Feb 4, 2025Updated last year
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆19Oct 21, 2023Updated 2 years ago
- ☆75Oct 30, 2020Updated 5 years ago
- A quantum machine learning algorithm for quantum non-IID federated learning☆29Jan 29, 2023Updated 3 years ago
- Implementation of the paper: "FedTabDiff: Federated Learning of Diffusion Models for Synthetic Mixed-Type Tabular Data Generation"☆21Nov 10, 2024Updated last year
- ☆23Apr 30, 2022Updated 3 years ago
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆26Nov 13, 2022Updated 3 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆63Aug 28, 2023Updated 2 years ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆23Oct 10, 2023Updated 2 years ago
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆65Jan 21, 2024Updated 2 years ago