MingjieWang0606 / FedCL_PubicLinks
Research code that accompanies the paper FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity.
☆20Updated 2 years ago
Alternatives and similar repositories for FedCL_Pubic
Users that are interested in FedCL_Pubic are comparing it to the libraries listed below
Sorting:
- 🔬 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…☆67Updated 2 years ago
- ☆75Updated 5 years ago
- ☆35Updated 4 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆145Updated last year
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆60Updated last year
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆69Updated 2 years ago
- ☆27Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆77Updated last year
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆21Updated 10 months ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆30Updated 3 years ago
- 关于簇联邦学习的一个小小的改进。自动确定簇个数,提高簇模型精度,缓解用户孤立的问题☆35Updated 3 years ago
- Code for Neural Networks journal paper - StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic cl…☆11Updated last year
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 3 years ago
- ☆34Updated 2 years ago
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆16Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆170Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆121Updated 5 years ago
- 🔨 A Flexible Federated Learning Simulator for Heterogeneous and Asynchronous.☆23Updated 3 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆88Updated 3 years ago
- Tutorials and paper lists for federated learning☆69Updated 2 months ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Updated 3 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆90Updated last year
- ☆182Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆184Updated 4 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆30Updated 2 years ago
- GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting☆14Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆35Updated 4 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆54Updated last year