☆33Dec 3, 2019Updated 6 years ago
Alternatives and similar repositories for Gradient-Compression-Methods
Users that are interested in Gradient-Compression-Methods are comparing it to the libraries listed below
Sorting:
- Q-RR, DIANA-RR, Q-NASTYA, NASTYA-DIANA, QSGD, DIANA, FedCOM and FedPAQ on logistic loss with L2 regularization☆11Nov 1, 2022Updated 3 years ago
- We present a set of all-reduce compatible gradient compression algorithms which significantly reduce the communication overhead while mai…☆10Nov 14, 2021Updated 4 years ago
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆32Jul 25, 2024Updated last year
- Code for "Adaptive Gradient Quantization for Data-Parallel SGD", published in NeurIPS 2020.☆30Jan 14, 2021Updated 5 years ago
- vector quantization for stochastic gradient descent.☆35May 12, 2020Updated 5 years ago
- The code for the paper "QuAFL: Federated Averaging Can Be Both Asynchronous and Communication-Efficient"☆17Mar 26, 2023Updated 2 years ago
- Code for the signSGD paper☆93Jan 12, 2021Updated 5 years ago
- ☆12Jul 16, 2020Updated 5 years ago
- ☆10Jul 21, 2021Updated 4 years ago
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆24Apr 3, 2021Updated 4 years ago
- Understanding Top-k Sparsification in Distributed Deep Learning☆24Nov 15, 2019Updated 6 years ago
- [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training☆226Jul 10, 2024Updated last year
- Code for the COLING 2022 paper "DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification"☆19Oct 19, 2022Updated 3 years ago
- GRACE - GRAdient ComprEssion for distributed deep learning☆139Jul 23, 2024Updated last year
- Implementation of (overlap) local SGD in Pytorch☆34Jul 12, 2020Updated 5 years ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆75Sep 10, 2020Updated 5 years ago
- Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)☆182Nov 19, 2018Updated 7 years ago
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆43Jun 30, 2022Updated 3 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆71Jun 28, 2022Updated 3 years ago
- Ok-Topk is a scheme for distributed training with sparse gradients. Ok-Topk integrates a novel sparse allreduce algorithm (less than 6k c…☆27Dec 10, 2022Updated 3 years ago
- Federated learning with model quantization☆16Nov 28, 2021Updated 4 years ago
- ☆33May 14, 2022Updated 3 years ago
- Code repository is for "Federated Composite Optimization", to appear in ICML 2021☆12May 6, 2022Updated 3 years ago
- Implement FedAvg algorithm based on Tensorflow☆265Dec 6, 2020Updated 5 years ago
- An implementation of the Hogwild! algorithm for asynchronous SGD that interfaces with sci-kit learn.☆20Feb 20, 2020Updated 6 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆167Nov 7, 2022Updated 3 years ago
- Deep learning, classification on the WISDM dataset☆16Oct 11, 2022Updated 3 years ago
- Implementation of the paper Diffusion Bridges Vector Quantized Variational Autoencoders.☆19Sep 1, 2023Updated 2 years ago
- MLCommons Science benchmarking working group☆13May 19, 2023Updated 2 years ago
- On the Convergence of FedAvg on Non-IID Data☆275Dec 7, 2022Updated 3 years ago
- [RAL 2024] MACIM: Multi-Agent Collaborative Implicit Mapping Through Distributed Optimizationn☆15Sep 25, 2023Updated 2 years ago
- A Sparse-tensor Communication Framework for Distributed Deep Learning☆13Nov 1, 2021Updated 4 years ago
- A Comprehensive and Versatile Open-Source Federated Learning Framework☆33Apr 3, 2023Updated 2 years ago
- ☆13Apr 30, 2024Updated last year
- ☆11Sep 6, 2024Updated last year
- Real-Time Sparse Visual Odometry with Neural Radiance Fields☆17Aug 11, 2024Updated last year
- Code for paper "Learning a Code: Machine Learning for Approximate Non-Linear Coded-Computation"☆11Dec 21, 2020Updated 5 years ago
- Dateset for MobiAct/MobiFall☆19May 5, 2023Updated 2 years ago
- On Bridging Generic and Personalized Federated Learning for Image Classification☆14Feb 5, 2022Updated 4 years ago