alexbie98 / fedavg
PyTorch implementation of federated learning on MNIST
☆14Updated last year
Alternatives and similar repositories for fedavg:
Users that are interested in fedavg are comparing it to the libraries listed below
- Decentralized federated learning of deep neural networks on non-iid data☆40Updated 2 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆121Updated last year
- federated-learning☆83Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆158Updated 2 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆43Updated last year
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆61Updated 2 months ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆74Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆139Updated 2 years ago
- ☆54Updated 3 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆71Updated 2 years ago
- ☆52Updated 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☆158Updated last year
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆65Updated 2 years ago
- A curated repository for various papers in the domain of split learning.☆46Updated 6 months ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆110Updated 4 years ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆27Updated last year
- 🎓Automatically Update Distributed Learning Papers Daily using Github Actions (Update Every 12th hours)☆32Updated this week
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆47Updated 2 years ago
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆22Updated 3 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆50Updated 8 months ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆34Updated 8 months ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆61Updated last year
- ☆31Updated 2 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆61Updated last year
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆24Updated 2 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆62Updated 5 months ago
- Pytorch implementations of some general federated optimization methods.☆37Updated 3 months ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆140Updated 2 years ago
- Releasing the source code Version1.☆143Updated 3 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆117Updated 2 years ago