jangsoohyuk / Robust-Federated-Learning-with-Noisy-Labels
Code for 'Robust Federated Learning with Noisy Labels'
☆13Updated 3 years ago
Alternatives and similar repositories for Robust-Federated-Learning-with-Noisy-Labels:
Users that are interested in Robust-Federated-Learning-with-Noisy-Labels are comparing it to the libraries listed below
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆36Updated 11 months ago
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆50Updated 2 years ago
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆20Updated 7 months 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☆36Updated last year
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆40Updated 2 years ago
- The official PyTorch implementation for the paper: "FedNoRo: Towards Noise-Robust Federated Learning By Addressing Class Imbalance and La…☆23Updated 11 months ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆84Updated last year
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆25Updated last year
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆84Updated last year
- ☆45Updated 2 years ago
- Code for the paper "Knowledge-Aware Federated Active Learning with Non-IID Data", ICCV2023☆11Updated last year
- This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.☆104Updated last year
- Simplified Implementation of FedPAC☆51Updated last year
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆24Updated 2 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆53Updated last year
- ☆12Updated last year
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆14Updated last year
- Pytorch implementations of some general federated optimization methods.☆38Updated 3 months ago
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆28Updated last year
- ☆33Updated 3 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆42Updated last year
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆55Updated last year
- ☆44Updated last month
- Official codes for ACM CIKM '22 full paper: Towards Federated Learning against Noisy Labels via Local Self-Regularization☆51Updated 2 weeks ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆41Updated last month
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆25Updated 11 months ago
- Code Implementation and Informations about FedAS☆21Updated last week
- ☆16Updated 11 months ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆83Updated 2 years ago