LINs-lab / FedBR
[ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction
☆25Updated 8 months ago
Related projects ⓘ
Alternatives and complementary repositories for FedBR
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆40Updated 2 years ago
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated last year
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆38Updated last year
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆34Updated last year
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆52Updated last year
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆35Updated 2 months ago
- Code Implementation and Informations about FedAS☆15Updated 2 months ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆19Updated 2 years ago
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆35Updated 8 months ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆55Updated 2 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆41Updated 3 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated last year
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆49Updated last year
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆80Updated 9 months ago
- ☆17Updated 2 years ago
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆27Updated last year
- ☆43Updated 2 years ago
- ☆40Updated last year
- ☆31Updated 2 years ago
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆25Updated 6 months ago
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆24Updated last year
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆51Updated 2 years ago
- Simplified Implementation of FedPAC☆48Updated 11 months ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆40Updated last year
- Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)☆31Updated last year
- Diverse Client Selection for Federated Learning via Submodular Maximization☆28Updated 2 years ago
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆28Updated last year
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆12Updated 10 months ago
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆53Updated last year