SamuelHorvath / Compressed_SGD_PyTorchLinks
Implementation of Compressed SGD with Compressed Gradients in Pytorch
☆13Updated 10 months ago
Alternatives and similar repositories for Compressed_SGD_PyTorch
Users that are interested in Compressed_SGD_PyTorch are comparing it to the libraries listed below
Sorting:
- vector quantization for stochastic gradient descent.☆35Updated 5 years ago
- ☆22Updated 4 years ago
- ☆23Updated last year
- Federated Block Coordinate Descent (FedBCD) code for "Federated Block Coordinate Descent Scheme for Learning Global and Personalized Mode…☆16Updated 4 years ago
- SCAFFOLD and FedAvg implementation☆59Updated 3 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆17Updated 4 years ago
- Federated Learning package☆21Updated 3 years ago
- ☆33Updated 5 years ago
- ☆30Updated 3 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆40Updated 2 years ago
- This repository implements FEDL using pytorch☆54Updated 4 years ago
- Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth☆42Updated last year
- A Benchmark of Real-world Image Dataset for Federated Learning☆42Updated 5 years ago
- Federated Dynamic Sparse Training☆30Updated 3 years ago
- Federated learning with model quantization☆16Updated 3 years ago
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆29Updated 5 years ago
- Understanding Top-k Sparsification in Distributed Deep Learning☆24Updated 5 years ago
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆42Updated 3 years ago
- FedCD: Improving Performance in non-IID Federated Learning☆13Updated 4 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆90Updated 3 years ago
- ☆17Updated 4 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆79Updated 2 years ago
- Asynchronous Federated Learning☆19Updated 3 years ago
- Code and raw result data for paper: AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation☆6Updated 2 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆43Updated 2 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated 10 months ago
- demo☆19Updated 3 years ago
- Attentive Federated Learning for Private NLM☆61Updated 10 months ago
- Source code for ECML-PKDD (2020) paper: FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learn…☆16Updated 2 years ago
- This repo implements FedU, a multitask learning framework for federated learning☆28Updated last month