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.☆43Updated 2 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆20Updated 3 years ago
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆27Updated 2 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆59Updated 2 years ago
- CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity☆21Updated last year
- Simplified Implementation of FedPAC☆56Updated last year
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆39Updated last year
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆15Updated last year
- The official PyTorch implementation for the paper: "FedNoRo: Towards Noise-Robust Federated Learning By Addressing Class Imbalance and La…☆27Updated last year
- (CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"☆12Updated 11 months ago
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆21Updated 10 months ago
- The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)☆7Updated last year
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆35Updated last year
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆43Updated 2 years ago
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆28Updated 5 months ago
- Code Implementation and Informations about FedAS☆23Updated 4 months ago
- ☆49Updated 3 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆50Updated 5 months ago
- Official repository for Towards Multi-modal Transformers in Federated Learning (ECCV2024)☆14Updated 4 months ago
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆54Updated last year
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆20Updated last year
- Official Code for PACFL AAAI 2023☆43Updated last year
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆27Updated last year
- Code for the paper "Knowledge-Aware Federated Active Learning with Non-IID Data", ICCV2023☆10Updated last year
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆85Updated last year
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆28Updated 2 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆56Updated last year
- ☆34Updated 3 years ago