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:
- Bayesian Nonparametric Federated Learning of Neural Networks☆146Updated 6 years ago
- Federated Multi-Task Learning☆131Updated 7 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆159Updated 4 years ago
- Attentive Federated Learning for Private NLM☆60Updated last year
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Updated 4 years ago
- ☆26Updated 5 years ago
- Understanding Top-k Sparsification in Distributed Deep Learning☆24Updated 6 years ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆341Updated 3 years ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆73Updated 5 years ago
- Federated Dynamic Sparse Training☆32Updated 3 years ago
- ☆22Updated 4 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆119Updated 5 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Updated 2 years ago
- FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)☆26Updated 2 years ago
- Federated Learning with Partial Model Personalization☆43Updated 3 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆151Updated 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
- FedNAS: Federated Deep Learning via Neural Architecture Search☆54Updated 4 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆242Updated last year
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆164Updated 3 years ago
- ☆30Updated 5 years ago
- DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation☆16Updated 5 years ago
- ☆80Updated 3 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆40Updated 2 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆306Updated 3 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆32Updated 3 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated last year
- On the Convergence of FedAvg on Non-IID Data☆270Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆86Updated 5 years ago