hclhkbu / GaussianK-SGDLinks
Understanding Top-k Sparsification in Distributed Deep Learning
☆24Updated 5 years ago
Alternatives and similar repositories for GaussianK-SGD
Users that are interested in GaussianK-SGD are comparing it to the libraries listed below
Sorting:
- [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training☆223Updated last year
- vector quantization for stochastic gradient descent.☆35Updated 5 years ago
- ☆33Updated 5 years ago
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆31Updated 4 years ago
- Oort: Efficient Federated Learning via Guided Participant Selection☆128Updated 3 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Updated 3 years ago
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆29Updated 5 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☆172Updated 2 years ago
- ☆30Updated 4 years ago
- Federated Dynamic Sparse Training☆31Updated 3 years ago
- ☆96Updated 3 years ago
- SCAFFOLD and FedAvg implementation☆60Updated 4 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆158Updated 4 years ago
- ☆46Updated 3 years ago
- Layer-wise Sparsification of Distributed Deep Learning☆10Updated 5 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆92Updated 3 years ago
- FedScale is a scalable and extensible open-source federated learning (FL) platform.☆398Updated last year
- gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning☆36Updated 6 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆41Updated 2 years ago
- On the Convergence of FedAvg on Non-IID Data☆266Updated 2 years ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆71Updated 4 years ago
- GRACE - GRAdient ComprEssion for distributed deep learning☆139Updated last year
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- A simulation framework for Federated Learning written in PyTorch☆207Updated 3 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆249Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 5 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
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆59Updated 6 years ago
- Implementation of Compressed SGD with Compressed Gradients in Pytorch☆13Updated last year