tfzhou / FedFAView external linksLinks
ICLR 2023 - FedFA: Federated Feature Augmentation
☆59Mar 28, 2023Updated 2 years ago
Alternatives and similar repositories for FedFA
Users that are interested in FedFA are comparing it to the libraries listed below
Sorting:
- [CVPR 2023] Federated Domain Generalization with Generalization Adjustment☆53Jun 14, 2023Updated 2 years ago
- ☆14Oct 12, 2024Updated last year
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆32Dec 17, 2024Updated last year
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆26Nov 13, 2022Updated 3 years ago
- ☆87Jun 16, 2025Updated 7 months ago
- ☆31Mar 12, 2023Updated 2 years ago
- 【CVPR 2023】Learning Federated Visual Prompt in Null Space for MRI Reconstruction☆48Apr 1, 2023Updated 2 years ago
- Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)☆32May 31, 2023Updated 2 years ago
- CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View☆115Dec 29, 2024Updated last year
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆62Aug 28, 2023Updated 2 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆24May 18, 2022Updated 3 years ago
- TPAMI 2024 - Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark☆110Aug 5, 2025Updated 6 months ago
- (CVPR 2024) Communication-Efficient Federated Learning with Accelerated Client Gradient☆40Aug 15, 2025Updated 5 months ago
- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆23Feb 9, 2023Updated 3 years ago
- [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing☆69Nov 24, 2022Updated 3 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆43Apr 25, 2023Updated 2 years ago
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆27Mar 7, 2024Updated last year
- Personalized Federated Learning under Mixture of Distributions☆19Jan 2, 2024Updated 2 years ago
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆31Dec 28, 2025Updated last month
- ☆18Jul 20, 2022Updated 3 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆55Aug 15, 2023Updated 2 years ago
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Jan 30, 2023Updated 3 years ago
- The official code for [ACM MM 2022] 'In-N-Out Generative Learning for Dense Unsupervised Video Segmentation'.☆20Feb 22, 2023Updated 2 years ago
- Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes☆21May 23, 2023Updated 2 years ago
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆86Feb 7, 2024Updated 2 years ago
- Personalized federated learning codebase for research☆411Oct 4, 2023Updated 2 years ago
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆22Mar 4, 2025Updated 11 months ago
- ☆17Aug 5, 2024Updated last year
- [ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning☆10Apr 28, 2023Updated 2 years ago
- CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization☆13Aug 3, 2024Updated last year
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆90Feb 24, 2023Updated 2 years ago
- Federated Learning with Partial Model Personalization☆42Jul 9, 2022Updated 3 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆158Apr 30, 2022Updated 3 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆46Feb 16, 2023Updated 2 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆70Feb 27, 2023Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆175May 26, 2022Updated 3 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆70Jun 28, 2022Updated 3 years ago
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆23Oct 17, 2022Updated 3 years ago
- an official PyTorch implementation of the paper "Partial Network Cloning", CVPR 2023☆13Mar 21, 2023Updated 2 years ago