nikitaivkin / csh
Simple Hierarchical Count Sketch in Python
☆20Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for csh
- Sketched SGD☆28Updated 4 years ago
- A compressed adaptive optimizer for training large-scale deep learning models using PyTorch☆27Updated 4 years ago
- Code for the signSGD paper☆80Updated 3 years ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆55Updated 6 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆72Updated 3 years ago
- Implementation of (overlap) local SGD in Pytorch☆32Updated 4 years ago
- ☆73Updated 5 years ago
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆29Updated 3 months ago
- ☆27Updated last year
- ☆43Updated 4 years ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆64Updated 4 years ago
- Federated posterior averaging implemented in JAX☆49Updated last year
- FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)☆24Updated last year
- Salvaging Federated Learning by Local Adaptation☆56Updated 3 months ago
- ☆12Updated 3 years ago
- CoLa - Decentralized Linear Learning: https://arxiv.org/abs/1808.04883☆19Updated 2 years ago
- PyTorch implementation of ICML 2017 paper, SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Paral…☆17Updated 7 years ago
- Atomo: Communication-efficient Learning via Atomic Sparsification☆25Updated 5 years ago
- InstaHide: Instance-hiding Schemes for Private Distributed Learning☆50Updated 4 years ago
- vector quantization for stochastic gradient descent.☆33Updated 4 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆34Updated 3 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆59Updated 11 months ago
- simple Differential Privacy in PyTorch☆48Updated 4 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆34Updated last year
- Source code of ICLR2020 submisstion: Zeno++: Robust Fully Asynchronous SGD☆13Updated 4 years ago
- Code for the paper "Adversarial Neural Pruning with Latent Vulnerability Suppression"☆14Updated last year
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 2 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆21Updated last year
- Federated Multi-Task Learning☆129Updated 5 years ago