MMorafah / FL-SC-NIIDLinks
Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks
☆25Updated 2 years ago
Alternatives and similar repositories for FL-SC-NIID
Users that are interested in FL-SC-NIID are comparing it to the libraries listed below
Sorting:
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆45Updated 2 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆61Updated 3 years ago
- The official PyTorch implementation for the paper: "FedNoRo: Towards Noise-Robust Federated Learning By Addressing Class Imbalance and La…☆27Updated last year
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆21Updated 3 years ago
- ☆52Updated 3 years ago
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆84Updated last year
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆58Updated 9 months ago
- CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity☆25Updated last year
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆18Updated 2 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆59Updated 2 years ago
- (CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"☆13Updated last year
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆26Updated last year
- ☆51Updated 9 months ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆89Updated 2 years ago
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆37Updated last year
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆30Updated 9 months ago
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆32Updated 2 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆43Updated 2 years ago
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆41Updated 2 years ago
- Code Implementation and Informations about FedAS☆28Updated 8 months ago
- CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View☆110Updated 9 months ago
- Simplified Implementation of FedPAC☆60Updated last year
- Practical One-Shot Federated Learning for Cross-Silo Setting☆41Updated 4 years ago
- Code for 'Robust Federated Learning with Noisy Labels'☆14Updated 4 years ago
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆28Updated 2 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆91Updated 2 years ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆21Updated 2 years ago
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆60Updated last year
- ☆33Updated 3 years ago