TailinZhou / FedFA
The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted by IEEE TMC.
☆17Updated last year
Alternatives and similar repositories for FedFA:
Users that are interested in FedFA are comparing it to the libraries listed below
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆28Updated last year
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆20Updated 11 months ago
- Confidence-aware Personalized Federated Learning via Variational Expectation Maximization [Accepted at CVPR 2023]☆16Updated last year
- Pytorch implementations of some general federated optimization methods.☆37Updated 3 months ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆40Updated 2 years ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆25Updated 3 months ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆38Updated last year
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 2 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆29Updated 2 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆28Updated 2 years ago
- Simplified Implementation of FedPAC☆51Updated last year
- ☆24Updated last year
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆60Updated 2 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆19Updated 2 years ago
- Federated learning with model quantization☆14Updated 3 years ago
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆14Updated last year
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆36Updated last year
- ☆44Updated last month
- GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting☆14Updated last year
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆65Updated 2 years ago
- ☆72Updated 3 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆84Updated last year
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆55Updated last year
- Decentralized federated learning of deep neural networks on non-iid data☆40Updated 2 years ago
- Official Code for PACFL AAAI 2023☆39Updated last year
- ☆11Updated last year
- This repo implements FedU, a multitask learning framework for federated learning☆26Updated 2 years ago
- Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]☆54Updated 2 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- Technique of Ordered Dropout as used in the paper "Fjord: Fair and accurate federated learning under heterogeneous targets with ordered d…☆11Updated 2 years ago