sjtudyq / FedConcatLinks
Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)
☆14Updated last year
Alternatives and similar repositories for FedConcat
Users that are interested in FedConcat are comparing it to the libraries listed below
Sorting:
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆54Updated 7 months ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆44Updated 2 years ago
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆27Updated 2 years ago
- Simplified Implementation of FedPAC☆59Updated last year
- Paper: UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration☆14Updated 7 months ago
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆18Updated last year
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆25Updated last year
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆57Updated last year
- Global and Local Prompts Cooperation via Optimal Transport for Federated Learning☆43Updated last year
- ☆15Updated 3 years ago
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆15Updated 2 years ago
- (CVPR 2024) FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning☆20Updated last year
- The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)☆7Updated last year
- Code Implementation and Informations about FedAS☆26Updated 6 months ago
- ☆15Updated last year
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆87Updated 2 years ago
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆18Updated 5 months ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆57Updated last year
- ☆51Updated 7 months ago
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆30Updated 2 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆92Updated 2 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆44Updated 2 years ago
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆85Updated last year
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆158Updated 3 years ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆21Updated last year
- ☆26Updated 2 years ago
- TPAMI2023 & CVPR2022 - Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning & Learn From Others and B…☆107Updated last year
- ☆12Updated last year
- This is official implementation of FedTP (TNNLS.2023) [https://ieeexplore.ieee.org/abstract/document/10130784].☆59Updated last year
- ☆49Updated last year