congxie1108 / iclr2020_zeno_asyncLinks
Source code of ICLR2020 submisstion: Zeno++: Robust Fully Asynchronous SGD
☆13Updated 5 years ago
Alternatives and similar repositories for iclr2020_zeno_async
Users that are interested in iclr2020_zeno_async are comparing it to the libraries listed below
Sorting:
- Dual-way gradient sparsification approach for async DNN training, based on PyTorch.☆11Updated 2 years ago
- FedNAS: Federated Deep Learning via Neural Architecture Search☆54Updated 4 years ago
- A Benchmark of Real-world Image Dataset for Federated Learning☆42Updated 6 years ago
- Federated Learning Framework Benchmark (UniFed)☆49Updated 2 years ago
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆31Updated 4 years ago
- Understanding Top-k Sparsification in Distributed Deep Learning☆24Updated 5 years ago
- ☆169Updated 7 years ago
- [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training☆224Updated last year
- vector quantization for stochastic gradient descent.☆35Updated 5 years ago
- Oort: Efficient Federated Learning via Guided Participant Selection☆128Updated 3 years ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆59Updated 6 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Updated 4 years ago
- ☆46Updated last year
- ☆26Updated 5 years ago
- Attentive Federated Learning for Private NLM☆60Updated last year
- ☆72Updated 2 years ago
- Federated Multi-Task Learning☆132Updated 6 years ago
- Federated Learning on XGBoost☆46Updated 5 years ago
- gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning☆36Updated 6 years ago
- Integration of SplitNN for vertically partitioned data with OpenMined's PySyft☆27Updated 5 years ago
- ☆19Updated 4 years ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆64Updated 5 years ago
- Code for paper "Interpret Federated Learning with Shapley Values"☆39Updated 6 years ago
- ☆22Updated 4 years ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆144Updated 6 years ago
- vertical federated learning paper lists☆76Updated 4 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated last year
- ☆30Updated 4 years ago
- ☆88Updated 5 years ago
- A federated learning framework to support scalable and reproducible research☆382Updated this week