zerolxf / VRL-SGDLinks
Code for paper: Variance Reduced Local SGD with Lower Communication Complexity
☆12Updated 5 years ago
Alternatives and similar repositories for VRL-SGD
Users that are interested in VRL-SGD are comparing it to the libraries listed below
Sorting:
- Salvaging Federated Learning by Local Adaptation☆56Updated 10 months ago
- ☆22Updated 4 years ago
- Federated Learning with Partial Model Personalization☆42Updated 2 years ago
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆22Updated 2 years ago
- Federated Multi-Task Learning☆130Updated 6 years ago
- vector quantization for stochastic gradient descent.☆35Updated 5 years ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆143Updated 6 years ago
- FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)☆26Updated 2 years ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆70Updated 4 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆43Updated 2 years ago
- Attentive Federated Learning for Private NLM☆61Updated 10 months ago
- Understanding Top-k Sparsification in Distributed Deep Learning☆24Updated 5 years ago
- ☆22Updated 3 years ago
- Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)☆30Updated 2 years ago
- SCAFFOLD and FedAvg implementation☆59Updated 3 years ago
- tf implementation of federated learning☆42Updated 6 years ago
- ☆26Updated 5 years ago
- Benchmarking Semi-supervised Federated Learning☆51Updated 2 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆17Updated 4 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆39Updated 2 years ago
- Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth☆42Updated last year
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆58Updated 6 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆77Updated 3 years ago
- Code for the signSGD paper☆86Updated 4 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated last year
- Federated Dynamic Sparse Training☆30Updated 3 years ago
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆31Updated 4 years ago
- ☆54Updated 3 years ago
- ☆23Updated last year
- Communication-efficient decentralized SGD (Pytorch)☆25Updated 5 years ago