Algorithm: Decentralized Parallel Stochastic Gradient Descent
☆48Sep 2, 2018Updated 8 years ago
Alternatives and similar repositories for D-PSGD
Users that are interested in D-PSGD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Atomo: Communication-efficient Learning via Atomic Sparsification☆29Dec 9, 2018Updated 7 years ago
- ☆10Oct 25, 2021Updated 5 years ago
- Parallel SGD, done locally and remote☆14May 19, 2016Updated 10 years ago
- Code for the paper “RelaySum for Decentralized Deep Learning on Heterogeneous Data”☆10Apr 21, 2023Updated 3 years ago
- LSTM GRU with exact backpropagation derivation and implementation☆13Nov 27, 2017Updated 8 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- MPI for Torch☆60May 22, 2017Updated 9 years ago
- Code for "Federated Accelerated Stochastic Gradient Descent" (NeurIPS 2020)☆15Jun 7, 2021Updated 5 years ago
- Distributed Learning by Pair-Wise Averaging☆52Oct 31, 2017Updated 9 years ago
- gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning☆37Aug 19, 2019Updated 7 years ago
- Implementation of (overlap) local SGD in Pytorch☆34Jul 12, 2020Updated 6 years ago
- Code accompanying the paper "Decentralized Federated Learning through Proxy Model Sharing"☆86Jun 5, 2023Updated 3 years ago
- A distributed torch framework for heterogeneous systems☆27Jan 12, 2019Updated 7 years ago
- [ICML 2023] Decentralized SGD and Average-direction SAM are Asymptotically Equivalent☆20Dec 4, 2023Updated 2 years ago
- source code of AISTATS 2020 paper: Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs☆11Jun 21, 2022Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆46Mar 4, 2020Updated 6 years ago
- 完全去中心化联邦学习☆34Aug 15, 2023Updated 3 years ago
- Federated Primal-Dual Algorithm☆17Mar 4, 2021Updated 5 years ago
- This Matlab package solves federated learning problems via gradient descent and inexact ADMM☆13Dec 19, 2024Updated last year
- ☆23Nov 2, 2019Updated 7 years ago
- Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?☆15Mar 24, 2022Updated 4 years ago
- Consensus Based Distributed Stochastic Gradient Descent☆11Jun 24, 2018Updated 8 years ago
- A MATLAB implementation of “Multiple Sound Source Counting and Localization Based on TF-Wise Spatial Spectrum Clustering” [TASLP 2019]☆11Oct 23, 2023Updated 3 years ago
- Code for paper "Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules"☆21Apr 19, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- DRACO: Byzantine-resilient Distributed Training via Redundant Gradients☆23Dec 9, 2018Updated 7 years ago
- Fast & analytical blind source separation algorithm to separate any number of sources using two microphones☆12Jun 8, 2024Updated 2 years ago
- FedD3: Federated Learning via Decentralized Dataset Distillation☆31Apr 8, 2023Updated 3 years ago
- This repo implements FedU, a multitask learning framework for federated learning☆29May 5, 2025Updated last year
- Federated posterior averaging implemented in JAX☆50Apr 13, 2023Updated 3 years ago
- ☆38Mar 17, 2018Updated 8 years ago
- A collection of stochastic proximal gradient methods for composite non-convex problems.☆24Jun 17, 2020Updated 6 years ago
- Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)☆33Oct 10, 2022Updated 4 years ago
- An implementation of frequency-invariant beamformer☆14Sep 3, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- 🔨 使用Spark/Pytorch实现分布式算法，包括图/矩阵计算（graph/matrix computation）、随机算法、优化（optimization）和机器学习。参考刘铁岩《分布式机器学习》和CME 323课程☆39Jun 27, 2023Updated 3 years ago
- TensorFlow ZMQ ops.☆42Jan 31, 2021Updated 5 years ago
- Speech recognition with federated learning☆11Jan 9, 2020Updated 6 years ago
- Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"☆292May 7, 2025Updated last year
- Implementation of an efficient variant of SVRG that relies on mini-batching implemented in Pytorch☆28Jan 19, 2019Updated 7 years ago
- Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)☆22May 6, 2021Updated 5 years ago
- Coordinate and Incremental Aggregated Optimization Algorithms☆11May 20, 2023Updated 3 years ago