ZexiLee / ICCV-2023-FedETFLinks
The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier".
☆26Updated 2 years ago
Alternatives and similar repositories for ICCV-2023-FedETF
Users that are interested in ICCV-2023-FedETF are comparing it to the libraries listed below
Sorting:
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆59Updated 2 years ago
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆51Updated 3 years ago
- Simplified Implementation of FedPAC☆60Updated last year
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆61Updated 3 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆89Updated 2 years ago
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆32Updated 2 years ago
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆18Updated 2 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆46Updated 2 years ago
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆14Updated 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
- Pytorch implementations of some general federated optimization methods.☆46Updated last year
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆37Updated last year
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆16Updated 2 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆68Updated 2 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆32Updated 3 years ago
- ☆51Updated 9 months ago
- ☆52Updated 3 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆58Updated 10 months ago
- ☆79Updated 3 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆43Updated 2 years ago
- ☆53Updated last year
- Confidence-aware Personalized Federated Learning via Variational Expectation Maximization [Accepted at CVPR 2023]☆16Updated last year
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆164Updated 3 years ago
- ☆15Updated 4 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆87Updated 3 years ago
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆29Updated 2 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆29Updated 2 years ago
- ☆33Updated 3 years ago
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆30Updated 2 years ago
- ☆21Updated 2 years ago