vinuni-vishc / fedDCTLinks
FedDCT: A Novel Federated Learning Approach for Training Large Convolutional Neural Networks
☆42Updated 2 years ago
Alternatives and similar repositories for fedDCT
Users that are interested in fedDCT are comparing it to the libraries listed below
Sorting:
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆88Updated 3 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆73Updated 2 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆64Updated last year
- Pytorch implementations of some general federated optimization methods.☆49Updated last year
- Simplified Implementation of FedPAC☆60Updated 2 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆70Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆165Updated 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
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆89Updated 2 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated last year
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆166Updated 3 years ago
- Code and data accompanying the FedGen paper☆256Updated last year
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆55Updated 2 months 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
- ☆82Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Updated 3 years ago
- Accenture Labs Federated Learning☆106Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆153Updated 3 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆94Updated 2 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated 2 years ago
- ☆51Updated 11 months ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 3 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆89Updated last year
- ☆162Updated 2 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆120Updated 5 years ago
- Similarity Guided Model Aggregation for Federated Learning☆25Updated 3 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆46Updated 2 years ago
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆20Updated 9 months ago