☆46Mar 4, 2020Updated 6 years ago
Alternatives and similar repositories for LocalSGD-Code
Users that are interested in LocalSGD-Code are comparing it to the libraries listed below
Sorting:
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆75Sep 10, 2020Updated 5 years ago
- Official Pytorch implementation of "DBS: Dynamic Batch Size for Distributed Deep Neural Network Training"☆23Sep 30, 2021Updated 4 years ago
- Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727☆149Oct 29, 2024Updated last year
- Communication-efficient decentralized SGD (Pytorch)☆24Mar 17, 2020Updated 6 years ago
- Understanding Top-k Sparsification in Distributed Deep Learning☆24Nov 15, 2019Updated 6 years ago
- Stochastic Gradient Push for Distributed Deep Learning☆171Apr 5, 2023Updated 2 years ago
- ☆32Aug 28, 2020Updated 5 years ago
- Code for "Practical Low-Rank Communication Compression in Decentralized Deep Learning"☆17Aug 4, 2020Updated 5 years ago
- FedNAS: Federated Deep Learning via Neural Architecture Search☆54Jul 26, 2021Updated 4 years ago
- MLBench Framework Core Python Library☆18Mar 1, 2023Updated 3 years ago
- Parallel SGD, done locally and remote☆14May 19, 2016Updated 9 years ago
- Official code for Guiding Language Model Math Reasoning with Planning Tokens☆18Feb 29, 2024Updated 2 years ago
- vector quantization for stochastic gradient descent.☆35May 12, 2020Updated 5 years ago
- ☆13Mar 22, 2023Updated 2 years ago
- MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning☆12Apr 26, 2021Updated 4 years ago
- Accelerating Transfer Learning with Robust Neural Nets☆11Oct 2, 2020Updated 5 years ago
- ddl-benchmarks: Benchmarks for Distributed Deep Learning☆36May 29, 2020Updated 5 years ago
- a libp2p-backed daemon wrapping the functionalities of go-libp2p for use in other languages☆11Feb 9, 2025Updated last year
- Implementation of Compressed SGD with Compressed Gradients in Pytorch☆13Jul 25, 2024Updated last year
- Code for the signSGD paper☆93Jan 12, 2021Updated 5 years ago
- ☆17Jun 7, 2023Updated 2 years ago
- Source code of ICLR2020 submisstion: Zeno++: Robust Fully Asynchronous SGD☆14Feb 2, 2020Updated 6 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
- GRACE - GRAdient ComprEssion for distributed deep learning☆139Jul 23, 2024Updated last year
- A fast data loader for ImageNet on PyTorch.☆18Mar 17, 2019Updated 7 years ago
- gossip: Efficient Communication Primitives for Multi-GPU Systems☆62Jul 1, 2022Updated 3 years ago
- Early exit ensembles☆12Dec 4, 2021Updated 4 years ago
- Code accompanying the NeurIPS 2019 paper AutoAssist: A Framework to Accelerate Training of Deep Neural Networks.☆14Oct 3, 2022Updated 3 years ago
- ☆30Jun 19, 2023Updated 2 years ago
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆32Nov 20, 2020Updated 5 years ago
- Codebase for " Reducing Representation Drift in Online Continual Learning"☆14Jun 8, 2021Updated 4 years ago
- Lab tasks for the course on "Data Engineering for Machine Learning"☆10May 1, 2023Updated 2 years ago
- On the Convergence of FedAvg on Non-IID Data☆275Dec 7, 2022Updated 3 years ago
- summer school materials☆46Aug 4, 2023Updated 2 years ago
- Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments (Zhou et al., EMNLP 2024)☆14Oct 3, 2024Updated last year
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆32Jul 25, 2024Updated last year
- PyTorch implementation of FIM and empirical FIM☆60Jul 10, 2018Updated 7 years ago
- pytorch implementation of SOSELETO☆15Sep 5, 2019Updated 6 years ago
- Hierarchical Federated Learning with Quantization of Deep Networks from Decentralized Data☆18Jul 28, 2020Updated 5 years ago