kevinhsieh / non_iid_dmlLinks
☆30Updated 5 years ago
Alternatives and similar repositories for non_iid_dml
Users that are interested in non_iid_dml are comparing it to the libraries listed below
Sorting:
- ☆162Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆159Updated 4 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆120Updated 5 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆226Updated 5 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Updated 4 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆242Updated last year
- Federated Dynamic Sparse Training☆32Updated 3 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆154Updated 3 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆54Updated 3 years ago
- SCAFFOLD and FedAvg implementation☆61Updated 4 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
- Code and data accompanying the FedGen paper☆256Updated last year
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆64Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆86Updated 5 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆88Updated 3 years ago
- ☆82Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆165Updated 3 years ago
- ☆26Updated 5 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Updated 4 years ago
- ☆35Updated 4 years ago
- The code in order to implement FedProx (ICPP 2020)☆28Updated 5 years ago
- ☆182Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆182Updated 4 years ago
- ☆23Updated 4 years ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆342Updated 4 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Updated 8 months ago
- ☆29Updated 4 years ago
- An implementation of federated learning research baseline methods based on FedML-core, which can be deployed on real distributed cluster …☆29Updated 3 years ago
- A Benchmark of Real-world Image Dataset for Federated Learning☆42Updated 6 years ago
- A project for simulation of Asynchronous Federated Learning☆21Updated 4 years ago