gaoliang13 / FedDCLinks
An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"
☆88Updated 3 years ago
Alternatives and similar repositories for FedDC
Users that are interested in FedDC are comparing it to the libraries listed below
Sorting:
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆166Updated 3 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆73Updated 2 years ago
- Code and data accompanying the FedGen paper☆256Updated last year
- ☆82Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆165Updated 3 years ago
- 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
- FedMD: Heterogenous Federated Learning via Model Distillation☆159Updated 4 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆89Updated last year
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆89Updated 2 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆223Updated 5 years ago
- ☆182Updated 2 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆292Updated 3 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆153Updated 3 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆242Updated last year
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆61Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆120Updated 5 years ago
- Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]☆194Updated 2 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆70Updated 3 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆79Updated 3 years ago
- SCAFFOLD and FedAvg implementation☆61Updated 4 years ago
- ☆162Updated 2 years ago
- Simplified Implementation of FedPAC☆60Updated 2 years ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆177Updated 2 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆68Updated 2 years ago
- Pytorch implementations of some general federated optimization methods.☆48Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆181Updated 4 years ago
- ☆51Updated 11 months ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated last year