FedD3: Federated Learning via Decentralized Dataset Distillation
☆31Apr 8, 2023Updated 2 years ago
Alternatives and similar repositories for FedD3
Users that are interested in FedD3 are comparing it to the libraries listed below
Sorting:
- FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis, Accept…☆20Feb 19, 2025Updated last year
- The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)☆11Sep 3, 2023Updated 2 years ago
- Implementation of FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning☆19Jan 4, 2024Updated 2 years ago
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆18Oct 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
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆35Dec 11, 2022Updated 3 years ago
- Federated Conformal Prediction with Quantile-of-Quantiles (FedCP-QQ)☆11Aug 16, 2023Updated 2 years ago
- (NeurIPS 2024) One-shot Federated Learning via Synthetic Distiller-Distillate Communication☆18Mar 11, 2025Updated 11 months ago
- Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]☆30May 7, 2024Updated last year
- Compression-based decentralized stochastic gradient descent (DSGD) algorithms tailored for digital and analog wireless implementations☆13Jun 26, 2022Updated 3 years ago
- Implementation of Federated Learning algorithms such as FedAvg, FedAvgM, SCAFFOLD, FedOpt, Mime using PyTorch.☆12Jan 2, 2023Updated 3 years ago
- PyTorch Federated Learning (easy to use and extend)☆298Jan 4, 2024Updated 2 years ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆34Jun 20, 2024Updated last year
- (CVPR 2024) FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning☆20Jun 21, 2024Updated last year
- Implementation of FedAvg, FedProx and qFedAvg using PyTorch☆18Apr 2, 2024Updated last year
- ☆19Feb 8, 2024Updated 2 years ago
- ☆14Apr 21, 2023Updated 2 years ago
- Federated Learning for Bird's Eye View Perception Based on Multi-Camera Data☆17Dec 7, 2023Updated 2 years ago
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆20Jun 28, 2024Updated last year
- A quantum machine learning algorithm for quantum non-IID federated learning☆29Jan 29, 2023Updated 3 years ago
- Official PyTorch implementation of "Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients", accepted at ICP…☆17Mar 29, 2022Updated 3 years ago
- ☆75Oct 30, 2020Updated 5 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆19Nov 1, 2019Updated 6 years ago
- Federated Learning package☆21Aug 16, 2021Updated 4 years ago
- SPATL: Salient Prameter Aggregation and Transfer Learning for Heterogeneous Federated Learning☆23Nov 17, 2022Updated 3 years ago
- FedML for Autonomous Driving (AD), Intelligent Transportation Systems (ITS), Connected and Automated Vehicles (CAV)☆61Apr 2, 2024Updated last year
- AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy☆25Mar 2, 2024Updated 2 years ago
- Efficient Dataset Distillation by Representative Matching☆114Feb 28, 2024Updated 2 years ago
- DeceFL: A Principled Decentralized Federated Learning Framework☆29Jan 25, 2023Updated 3 years ago
- [AAAI'23] Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning☆28Feb 23, 2023Updated 3 years ago
- Communication-efficient decentralized SGD (Pytorch)☆24Mar 17, 2020Updated 5 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆29Jan 7, 2023Updated 3 years ago
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆28Oct 9, 2024Updated last year
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆116Oct 18, 2023Updated 2 years ago
- ☆29Jun 12, 2023Updated 2 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆32Nov 21, 2022Updated 3 years ago
- [CVPR2024] FedHCA^2: Towards Hetero-Client Federated Multi-Task Learning☆34Feb 18, 2025Updated last year
- ☆72Dec 8, 2025Updated 2 months ago
- 单纯形法，运输问题的Python简单实现。最优化方法课程作业，设计一个可以运行的平台软件，可以选择单纯形、运输问题求解。☆14Jan 5, 2021Updated 5 years ago