JYWa / MATCHALinks
Communication-efficient decentralized SGD (Pytorch)
☆25Updated 5 years ago
Alternatives and similar repositories for MATCHA
Users that are interested in MATCHA are comparing it to the libraries listed below
Sorting:
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆74Updated 5 years ago
- ☆22Updated 4 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Updated 2 years ago
- This repo implements FedU, a multitask learning framework for federated learning☆29Updated 7 months ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Updated 4 years ago
- ☆33Updated 6 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆120Updated 5 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆41Updated 3 years ago
- ☆54Updated 4 years ago
- Federated Dynamic Sparse Training☆32Updated 3 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☆177Updated 2 years ago
- vector quantization for stochastic gradient descent.☆35Updated 5 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆32Updated 3 years ago
- ☆29Updated 3 years ago
- SCAFFOLD and FedAvg implementation☆61Updated 4 years ago
- ☆162Updated 3 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆96Updated 3 years ago
- Code for paper "Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules"☆20Updated last year
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆165Updated 3 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 5 years ago
- ☆82Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Updated 3 years ago
- ☆32Updated 3 years ago
- ☆96Updated 4 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆64Updated last year
- ☆43Updated 4 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆154Updated 3 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆226Updated 5 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Updated 8 months ago
- Code for ScaleFL☆32Updated 2 weeks ago