MingjieWang0606 / FedCL_Pubic
Research code that accompanies the paper FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity.
☆22Updated last year
Alternatives and similar repositories for FedCL_Pubic:
Users that are interested in FedCL_Pubic are comparing it to the libraries listed below
- ☆24Updated 2 years ago
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆17Updated 2 months ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆49Updated 4 months ago
- ☆11Updated last year
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆64Updated last year
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆29Updated 2 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- ☆36Updated 3 years ago
- ☆74Updated 4 years ago
- Tutorials and paper lists for federated learning☆67Updated 2 years ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆29Updated last year
- Codes for FedKD☆57Updated 2 years ago
- ☆31Updated 2 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 2 years ago
- 🔨 A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pyto…☆67Updated last year
- ☆28Updated 4 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆26Updated 6 months ago
- Similarity Guided Model Aggregation for Federated Learning☆24Updated 3 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…☆63Updated 2 years ago
- ☆11Updated 3 years ago
- PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Worksho…☆33Updated last year
- repo in several methods FedAvg, FedMD, FedProto, FedProx, FedHKD.☆20Updated last year
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆29Updated last year
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆38Updated 2 years ago
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆36Updated 2 years ago
- ☆16Updated last year
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆79Updated 2 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆48Updated 2 years ago
- Official Code for PACFL AAAI 2023☆43Updated last year