MingjieWang0606 / FedCL_PubicLinks
Research code that accompanies the paper FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity.
☆20Updated last year
Alternatives and similar repositories for FedCL_Pubic
Users that are interested in FedCL_Pubic are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆70Updated last year
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆29Updated 2 years ago
- ☆26Updated 2 years ago
- ☆177Updated 2 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 2 years ago
- ☆75Updated 4 years ago
- 🔬 FedCom为SWPU2022届本科毕业设计《基于社区检测的多任务聚类联邦学习》。本研究提出了一种多任务聚类联邦学习(clustered federated learning, CFL)的新方法,该方法的特点是基于社区检测(community detection)来进…☆66Updated 2 years ago
- Code for paper - Stochastic Clustered Federated Learning☆11Updated last year
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆137Updated 9 months ago
- Official Code for PACFL AAAI 2023☆43Updated 2 years ago
- Tutorials and paper lists for federated learning☆67Updated 3 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆158Updated 3 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆68Updated 2 years ago
- ☆35Updated 4 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
- PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Worksho…☆37Updated 2 years ago
- Codes for FedKD☆59Updated 3 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆123Updated 3 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆54Updated 7 months ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆153Updated 7 months ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆92Updated 2 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆174Updated 4 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆84Updated last year
- Apprentices in Federated Learning from ECNU <3☆23Updated 3 years ago
- IJCAI-Personalized Federated Learning with Graph☆53Updated 2 years ago
- 📦 Collect some Asynchronous Federated Learning papers.☆116Updated last year