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)☆5Updated last month
- ☆10Updated last year
- Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?☆14Updated 3 years ago
- ☆16Updated 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
- (CVPR 2024) Communication-Efficient Federated Learning with Accelerated Client Gradient☆35Updated last year
- ☆28Updated 3 years ago
- Simple implementation of FedAvg, a Federated Learning algorithm.☆29Updated last year
- Source code of paper entitled "Federated Learning with Class Imbalance Reduction".☆9Updated 4 years ago
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆22Updated last year
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Updated 2 years ago
- ☆19Updated last year
- ☆20Updated 3 years ago
- ☆28Updated last year
- FedDCT: A Novel Federated Learning Approach for Training Large Convolutional Neural Networks☆40Updated last year
- Official implementation of the paper "FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heter…☆14Updated last year
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆28Updated 7 months ago
- Federated Bilevel Optimization☆16Updated 3 years ago
- PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Worksho…☆37Updated 2 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆28Updated 2 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆53Updated last year
- ☆7Updated last year
- Federated learning is a distributed learning method that trains a deep network on user devices without collecting data from central serve…☆13Updated 5 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆21Updated 3 years ago
- Personalized Federated Learning under Mixture of Distributions☆19Updated last year
- Code for "Federated Accelerated Stochastic Gradient Descent" (NeurIPS 2020)☆15Updated 4 years ago
- Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving☆39Updated last year
- [CVPR 2023] "TrojViT: Trojan Insertion in Vision Transformers" by Mengxin Zheng, Qian Lou, Lei Jiang☆14Updated last year
- ☆16Updated last year