xiyuanyang45 / FedASLinks
Code Implementation and Informations about FedAS
☆33Updated 10 months ago
Alternatives and similar repositories for FedAS
Users that are interested in FedAS are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆92Updated 2 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆143Updated last year
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆166Updated 3 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆89Updated 2 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆59Updated 11 months ago
- ☆15Updated 4 years ago
- Simplified Implementation of FedPAC☆60Updated 2 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆46Updated 2 years ago
- CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity☆26Updated last year
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆61Updated 3 years ago
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆63Updated last year
- ☆52Updated 3 years ago
- TPAMI2023 & CVPR2022 - Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning & Learn From Others and B…☆108Updated 2 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆68Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆88Updated 3 years ago
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆14Updated last year
- ☆54Updated last year
- Pytorch implementations of some general federated optimization methods.☆49Updated last year
- Model-Contrastive Federated Learning (CVPR 2021)☆292Updated 3 years ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆22Updated 2 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆73Updated 2 years ago
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆18Updated 3 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆70Updated 3 years ago
- ☆51Updated 11 months ago
- [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble☆124Updated 11 months ago
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆20Updated 9 months ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆167Updated 11 months ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆59Updated 2 years ago
- ☆13Updated last year
- FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis, Accept…☆17Updated 9 months ago