scottjiao / Gradient-Compression-MethodsLinks
☆33Updated 5 years ago
Alternatives and similar repositories for Gradient-Compression-Methods
Users that are interested in Gradient-Compression-Methods are comparing it to the libraries listed below
Sorting:
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆91Updated 3 years ago
- Federated Dynamic Sparse Training☆30Updated 3 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Updated 2 years ago
- ☆160Updated 2 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆41Updated 2 years ago
- ☆22Updated 4 years ago
- SCAFFOLD and FedAvg implementation☆60Updated 4 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆157Updated 4 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Updated 3 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆63Updated 11 months ago
- ☆96Updated 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☆171Updated 2 years ago
- vector quantization for stochastic gradient descent.☆35Updated 5 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- Releasing the source code Version1.☆166Updated 3 years ago
- Communication-efficient decentralized SGD (Pytorch)☆25Updated 5 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆174Updated 4 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated…☆29Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 5 years ago
- ☆77Updated 3 years ago
- Code for ScaleFL☆29Updated 2 years ago
- ☆54Updated 4 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆240Updated last year
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 4 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆80Updated 3 years ago
- This repo implements FedU, a multitask learning framework for federated learning☆28Updated 3 months ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆217Updated 4 years ago
- ☆43Updated 3 years ago
- Pytorch implementations of some general federated optimization methods.☆43Updated 9 months ago