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☆144Updated 6 years ago
- Federated Multi-Task Learning☆131Updated 6 years ago
- Understanding Top-k Sparsification in Distributed Deep Learning☆24Updated 5 years ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆339Updated 3 years ago
- Attentive Federated Learning for Private NLM☆61Updated 11 months ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Updated 3 years ago
- vector quantization for stochastic gradient descent.☆35Updated 5 years ago
- ☆30Updated 4 years ago
- FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)☆26Updated 2 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆46Updated 2 years ago
- FedNAS: Federated Deep Learning via Neural Architecture Search☆55Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆155Updated 4 years ago
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆22Updated 2 years ago
- ☆160Updated 2 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated 11 months ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆250Updated last year
- ☆26Updated 5 years ago
- Federated Learning with Partial Model Personalization☆43Updated 3 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆239Updated 11 months ago
- ☆22Updated 3 years ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆71Updated 4 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆297Updated 3 years ago
- ☆96Updated 3 years ago
- Federated Dynamic Sparse Training☆30Updated 3 years ago
- Code and data accompanying the FedGen paper☆251Updated 8 months ago
- Code for Neurips 2020 paper "Byzantine Resilient Distributed Multi-Task Learning"☆9Updated 4 years ago
- ☆33Updated 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☆169Updated 2 years ago
- ☆22Updated 4 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago