geehokim / FedACG
(CVPR 2024) Communication-Efficient Federated Learning with Accelerated Client Gradient
☆30Updated 9 months ago
Alternatives and similar repositories for FedACG:
Users that are interested in FedACG are comparing it to the libraries listed below
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆24Updated 2 years ago
- Official Implementation of FedRCL (CVPR 2024)☆19Updated 9 months ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆42Updated 2 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆60Updated 2 years ago
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆39Updated last year
- (CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"☆10Updated 9 months ago
- The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)☆7Updated last year
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆25Updated last year
- Official repository for Towards Multi-modal Transformers in Federated Learning (ECCV2024)☆14Updated last month
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆18Updated last year
- [Official] NeurIPS 2023, "Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Approach for Object Detection"☆20Updated last year
- Code Implementation and Informations about FedAS☆22Updated 2 months ago
- Official repository for FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning (ICCV2023)☆15Updated last year
- ☆14Updated last year
- Global and Local Prompts Cooperation via Optimal Transport for Federated Learning☆35Updated last year
- Official implementation of "Multi-Level Branched Regularization for Federated Learning" in ICML 2022☆21Updated last year
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆20Updated 2 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆55Updated last year
- Trying out diffusion training in federated learning setting.☆16Updated last year
- ☆10Updated last year
- CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity☆18Updated 10 months ago
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆52Updated 3 weeks ago
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆51Updated last year
- ☆18Updated 2 years ago
- Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)☆32Updated last year
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆21Updated 8 months ago
- [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble☆104Updated 3 months ago
- [CVPR-2024] Text-Enhanced Data-free Approach for Federated Class-Incremental Learning☆12Updated 3 months ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆42Updated last year
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆50Updated 3 years ago