tmlr-group / FedFedLinks
[NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"
☆22Updated 2 years ago
Alternatives and similar repositories for FedFed
Users that are interested in FedFed are comparing it to the libraries listed below
Sorting:
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆46Updated 2 years ago
- CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity☆26Updated last year
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆29Updated 2 years ago
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆14Updated last year
- Global and Local Prompts Cooperation via Optimal Transport for Federated Learning☆48Updated last year
- CVPR 2022: RSCFed: Random Sampling Consensus Federated Semi-supervised Learning☆48Updated 3 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆58Updated 10 months ago
- Code Implementation and Informations about FedAS☆31Updated 8 months ago
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆61Updated last year
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆61Updated 3 years ago
- ☆52Updated 3 years ago
- ☆29Updated 2 years ago
- Confidence-aware Personalized Federated Learning via Variational Expectation Maximization [Accepted at CVPR 2023]☆16Updated last year
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆59Updated 2 years ago
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆32Updated 2 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆91Updated 2 years ago
- ☆17Updated last year
- ☆18Updated 3 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆89Updated 2 years ago
- (AAAI-24) Federated Learning via Input-Output Collaborative Distillation☆10Updated last year
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆27Updated last year
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆37Updated last year
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆16Updated 2 years ago
- [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble☆118Updated 10 months ago
- ☆115Updated 2 years ago
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆41Updated 2 years ago
- Simplified Implementation of FedPAC☆60Updated last year
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆26Updated 2 years ago
- ☆33Updated 3 years ago
- The official PyTorch implementation for the paper: "FedNoRo: Towards Noise-Robust Federated Learning By Addressing Class Imbalance and La…☆28Updated last year