yjlee22 / FedShare
PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.
☆117Updated 2 years ago
Alternatives and similar repositories for FedShare:
Users that are interested in FedShare are comparing it to the libraries listed below
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆121Updated 3 months ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆121Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆163Updated 3 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆77Updated 6 months ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆110Updated 4 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆139Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆60Updated 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
- FedMD: Heterogenous Federated Learning via Model Distillation☆150Updated 3 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆155Updated last year
- On the Convergence of FedAvg on Non-IID Data☆257Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆83Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆140Updated 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
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆158Updated 2 years ago
- Accenture Labs Federated Learning☆96Updated 11 months ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆230Updated 6 months ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆102Updated 2 years ago
- Code and data accompanying the FedGen paper☆249Updated 3 months ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆208Updated 4 years ago
- ☆31Updated 2 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆65Updated 2 years ago
- ☆173Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆83Updated 4 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
- Releasing the source code Version1.☆143Updated 3 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆61Updated last year
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆84Updated last year
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago