Zeng-Shuang / FedLDLinks
☆12Updated 11 months ago
Alternatives and similar repositories for FedLD
Users that are interested in FedLD are comparing it to the libraries listed below
Sorting:
- (CVPR 2024) FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning☆19Updated last year
- Code Implementation and Informations about FedAS☆28Updated 8 months ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆21Updated 2 years ago
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆60Updated last year
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆25Updated 2 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆61Updated 3 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆45Updated 2 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆58Updated 9 months ago
- [ICLR'24] Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate☆12Updated 3 months ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆91Updated 2 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆59Updated 2 years ago
- Self-supervised federated learning for medical imaging - IEEE TMI☆74Updated last year
- [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble☆117Updated 9 months ago
- ☆115Updated 2 years ago
- ☆28Updated 2 years ago
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆30Updated 9 months ago
- Official repository for Towards Multi-modal Transformers in Federated Learning (ECCV2024)☆18Updated 8 months ago
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆14Updated last year
- Confidence-aware Personalized Federated Learning via Variational Expectation Maximization [Accepted at CVPR 2023]☆16Updated last year
- Simplified Implementation of FedPAC☆60Updated last year
- CVPR 2022: RSCFed: Random Sampling Consensus Federated Semi-supervised Learning☆48Updated 3 years ago
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆26Updated last year
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆28Updated 2 years ago
- Global and Local Prompts Cooperation via Optimal Transport for Federated Learning☆47Updated last year
- ☆15Updated last year
- ☆52Updated 3 years ago
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆64Updated 6 months ago
- ☆33Updated 3 years ago
- This repository provides a comprehensive collection of papers focused on Multimodal Federated Learning (MMFL).☆61Updated 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