ZexiLee / ICCV-2023-FedETF
The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier".
☆25Updated last year
Alternatives and similar repositories for ICCV-2023-FedETF:
Users that are interested in ICCV-2023-FedETF are comparing it to the libraries listed below
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆55Updated last year
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆14Updated last year
- Pytorch implementations of some general federated optimization methods.☆39Updated 4 months ago
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆17Updated last year
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆27Updated last year
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆42Updated 2 years ago
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆13Updated last year
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆50Updated 3 years ago
- Simplified Implementation of FedPAC☆52Updated last year
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆27Updated last year
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 2 years ago
- ☆33Updated 3 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆60Updated 2 years ago
- Confidence-aware Personalized Federated Learning via Variational Expectation Maximization [Accepted at CVPR 2023]☆16Updated last year
- Code Implementation and Informations about FedAS☆21Updated last month
- The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)☆6Updated last year
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆29Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆82Updated 2 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆46Updated 2 months ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆84Updated 2 years ago
- This is the code for "TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation" (ICCV 2023)☆39Updated 10 months ago
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆25Updated last year
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆15Updated 2 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆42Updated last year
- ☆21Updated 2 years ago
- ☆19Updated 10 months ago
- ☆20Updated last year
- ☆14Updated last year
- PyTorch code for our paper "Resource-Adaptive Federated Learning with All-In-One Neural Composition" (NeurIPS2022)☆16Updated 2 years ago
- Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)☆17Updated last year