vzantedeschi / DadaLinks
source code of AISTATS 2020 paper: Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs
☆12Updated 3 years ago
Alternatives and similar repositories for Dada
Users that are interested in Dada are comparing it to the libraries listed below
Sorting:
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Updated 4 years ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆71Updated 4 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆32Updated 3 years ago
- Implementation of Compressed SGD with Compressed Gradients in Pytorch☆13Updated last year
- Federated Multi-Task Learning☆132Updated 6 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 4 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Updated 2 years ago
- Communication-efficient decentralized SGD (Pytorch)☆25Updated 5 years ago
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆16Updated 4 years ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆144Updated 6 years ago
- Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth☆42Updated last year
- ☆96Updated 3 years ago
- ☆22Updated 4 years ago
- Federated Principal Component Analysis Revisited!☆43Updated 3 years ago
- ☆22Updated 4 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated last year
- ☆54Updated 4 years ago
- Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks☆16Updated 3 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 5 years ago
- Benchmarking Semi-supervised Federated Learning☆52Updated 3 years ago
- SPATL: Salient Prameter Aggregation and Transfer Learning for Heterogeneous Federated Learning☆23Updated 2 years ago
- This repository implements FEDL using pytorch☆55Updated 4 years ago
- ☆10Updated 4 years ago
- ☆23Updated last year
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆92Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆18Updated 5 years ago
- Federated Learning package☆21Updated 4 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆111Updated 4 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Updated 2 years ago