AntonFriberg / pytorch-cinic-10
Pytorch deep learning object detection using CINIC-10 dataset.
☆22Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for pytorch-cinic-10
- FedNAS: Federated Deep Learning via Neural Architecture Search☆52Updated 3 years ago
- vector quantization for stochastic gradient descent.☆33Updated 4 years ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆56Updated 6 years ago
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆31Updated 4 years ago
- Code for the signSGD paper☆81Updated 3 years ago
- Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (ht…☆90Updated last year
- ☆43Updated 4 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆34Updated last year
- Federated Dynamic Sparse Training☆29Updated 2 years ago
- ☆23Updated 3 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated 3 months ago
- [NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: …☆49Updated 2 years ago
- ☆74Updated 5 years ago
- Attentive Federated Learning for Private NLM☆60Updated 3 months ago
- Code for "Federated Accelerated Stochastic Gradient Descent" (NeurIPS 2020)☆14Updated 3 years ago
- Atomo: Communication-efficient Learning via Atomic Sparsification☆25Updated 5 years ago
- Code for Neurips 2020 paper "Byzantine Resilient Distributed Multi-Task Learning"☆9Updated 4 years ago
- Understanding Top-k Sparsification in Distributed Deep Learning☆22Updated 5 years ago
- Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch☆29Updated 3 years ago
- Related material on Federated Learning☆27Updated 4 years ago
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆29Updated 3 months ago
- ☆26Updated 10 months ago
- Source code of ICLR2020 submisstion: Zeno++: Robust Fully Asynchronous SGD☆13Updated 4 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆40Updated last year
- InstaHide: Instance-hiding Schemes for Private Distributed Learning☆50Updated 4 years ago
- [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training☆213Updated 4 months ago
- FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)☆24Updated last year
- Federated Learning Framework Benchmark (UniFed)☆47Updated last year
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆53Updated 5 years ago
- Implementation of (overlap) local SGD in Pytorch☆32Updated 4 years ago