colinlaganier / FederatedDiffusionModelsLinks
Federated Learning of Diffusion Models
☆9Updated last year
Alternatives and similar repositories for FederatedDiffusionModels
Users that are interested in FederatedDiffusionModels are comparing it to the libraries listed below
Sorting:
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆22Updated last year
- The implementation of FedCADO (Classifier-Assisted Diffusion for One-shot Federated learning method)☆4Updated last month
- ☆9Updated last year
- [CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth …☆13Updated last year
- ☆28Updated 3 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆28Updated 2 years ago
- ☆19Updated last year
- (CVPR 2024) Communication-Efficient Federated Learning with Accelerated Client Gradient☆35Updated last year
- CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity☆22Updated last year
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Updated 2 years ago
- ☆15Updated 8 months ago
- Source code of paper entitled "Federated Learning with Class Imbalance Reduction".☆9Updated 4 years ago
- Trying out diffusion training in federated learning setting.☆18Updated last year
- Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?☆14Updated 3 years ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆20Updated last year
- [CVPR2024] FedHCA^2: Towards Hetero-Client Federated Multi-Task Learning☆31Updated 4 months ago
- The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)☆7Updated last year
- Personalized Federated Learning under Mixture of Distributions☆18Updated last year
- ☆30Updated last year
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆17Updated last year
- ☆28Updated last year
- 🎓Automatically Update Distributed Learning Papers Daily using Github Actions (Update Every 12th hours)☆35Updated this week
- ☆16Updated last year
- ICCV 2023 accepted paper, GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning☆21Updated 7 months ago
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆25Updated 2 years ago
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆19Updated last year
- Simple implementation of FedAvg, a Federated Learning algorithm.☆28Updated last year
- [Official] NeurIPS 2023, "Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Approach for Object Detection"☆20Updated last year
- ☆7Updated last year
- ☆17Updated 2 years ago