Heasung-Kim / clustered-federated-learning-via-gradient-based-partitioningLinks
Clustered Federated Learning via Gradient-based Partitioning (ICML 2024)
☆12Updated 4 months ago
Alternatives and similar repositories for clustered-federated-learning-via-gradient-based-partitioning
Users that are interested in clustered-federated-learning-via-gradient-based-partitioning are comparing it to the libraries listed below
Sorting:
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆82Updated 3 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆164Updated 10 months ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆132Updated 2 years ago
- repo in several methods FedAvg, FedMD, FedProto, FedProx, FedHKD.☆25Updated last year
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆54Updated 3 weeks ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆174Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆73Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆87Updated last year
- Releasing the source code Version1.☆172Updated 4 years ago
- ☆77Updated last year
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated 11 months ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆24Updated last year
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆78Updated 3 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆165Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆119Updated 5 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆69Updated 3 years ago
- Accenture Labs Federated Learning☆105Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆178Updated 4 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆84Updated last year
- 📦 Collect some Asynchronous Federated Learning papers.☆117Updated last year
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 years ago
- ☆179Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 3 years ago
- Federated learning via stochastic gradient descent☆34Updated 5 years ago
- Awesome Federated Unlearning (FU) Papers (Continually Update)☆103Updated last year
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆143Updated 11 months ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆112Updated 3 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆201Updated 2 months ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆408Updated last year
- Python module for simulating gossip learning.☆41Updated last year