Topic: distributed-optimization Goto Github
Some thing interesting about distributed-optimization
Some thing interesting about distributed-optimization
distributed-optimization,Distributed Multidisciplinary Design Optimization
User: ahmed-bayoumy
distributed-optimization,dccp is a simple python package that implements DiPOA algorithm.
User: alirezalm
distributed-optimization,Sparse Convex Optimization Toolkit (SCOT)
User: alirezalm
Home Page: https://alirezalm.github.io/scot/
distributed-optimization,
User: ccwutw
distributed-optimization,FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
User: chaoyanghe
distributed-optimization,MATLAB implementation of the paper "Distributed Optimization of Average Consensus Containment with Multiple Stationary Leaders" [arXiv 2022].
User: darknorth0
Home Page: https://arxiv.org/abs/2203.16451
distributed-optimization,MATLAB implementation of the paper "Online Distributed Optimal Power Flow with Equality Constraints" [arXiv 2022].
User: darknorth0
Home Page: https://arxiv.org/abs/2212.03921
distributed-optimization,This repository contains the code that produces the numeric section in On the Use of TensorFlow Computation Graphs in combination with Distributed Optimization to Solve Large-Scale Convex Problems
User: disonvon
distributed-optimization,Code for "A Distributed Buffering Drift-Plus-Penalty Algorithm for Coupling Constrained Optimization" (L-CSS, status: revise and resubmit)
User: dk-zhu
distributed-optimization,Code for ''Distributed Online Optimization with Coupled Inequality Constraints over Unbalanced Directed Networks'' (CDC 2023)
User: dk-zhu
distributed-optimization,Distributed Linear Programming Solver on top of Apache Spark
User: ehsanmok
Home Page: https://open.library.ubc.ca/cIRcle/collections/ubctheses/24/items/1.0340337
distributed-optimization,Implemented FedAvg & FedProx: Decentralized Optimization Algorithms for Neural Networks for an Image Classification Task- Distributed Optimization and Learning(DOL) Course Project
User: erfunmirzaei
distributed-optimization,A ray-based library of Distributed POPulation-based OPtimization for Large-Scale Black-Box Optimization.
User: evolutionary-intelligence
distributed-optimization,Parallel optimizer based on the Global Function Search
User: iraikov
distributed-optimization,Scalable, structured, dynamically-scheduled hyperparameter optimization.
User: jeffkinnison
distributed-optimization,Communication-efficient decentralized SGD (Pytorch)
User: jywa
distributed-optimization,Implementation of (overlap) local SGD in Pytorch
User: jywa
distributed-optimization,Fair Resource Allocation in Federated Learning (ICLR '20)
User: litian96
distributed-optimization,FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)
User: litian96
distributed-optimization,Federated Optimization in Heterogeneous Networks (MLSys '20)
User: litian96
distributed-optimization,A package for solving optimal power flow problems using distributed algorithms.
User: mkhraijah
distributed-optimization,FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.
Organization: mloptpsu
distributed-optimization,Implementation of Local Updates Periodic Averaging (LUPA) SGD
User: mmkamani7
distributed-optimization,Implementation of Redundancy Infused SGD for faster distributed SGD.
User: mmkamani7
distributed-optimization,The repository focuses on conducting Federated Learning experiments using the Intel OpenFL framework with diverse machine learning models, utilizing image and tabular datasets, applicable different domains like medicine, banking etc.
User: muhammadashiqameer
distributed-optimization,Implementation of consensus algorithms using row-stochastic weights over directed graphs
User: naraharikr
Home Page: https://github.com/naraharikr/master_thesis
distributed-optimization,optopy is a prototyping and benchmarking Python framework for optimization, both static and dynamic, centralized and distributed
User: nicola-bastianello
distributed-optimization,tvopt is a prototyping and benchmarking Python framework for time-varying (or online) optimization.
User: nicola-bastianello
Home Page: https://github.com/nicola-bastianello/tvopt
distributed-optimization,DISROPT: A Python framework for distributed optimization
User: opt4smart
Home Page: https://opt4smart.github.io/disropt/
distributed-optimization, Consensus-ADMM for multi-robot trajectory optimization.
User: randychen233
distributed-optimization,Distributed approach of scheduling residential EV charging to maintain reliability of power distribution grids.
User: rounak-meyur
distributed-optimization,Decentralized Sporadic Federated Learning: A Unified Methodology with Generalized Convergence Guarantees
User: shahryarbq
distributed-optimization,Error feedback based quantization aided and convergence guaranteed Communication Efficient Federated Linear and Deep GCCA
User: shresthasagar
distributed-optimization,This repo is an implementation of the algorithm from the paper Consensus on Lie groups for the Riemannian Center of Mass. This algorithm computes the Riemannian center of mass of a set of points in a distributed manner, generalizing the Euclidean average consensus dynamics.
User: spencerkraisler
Home Page: https://arxiv.org/abs/2308.08054
distributed-optimization,Project work of Distributed Control System
User: stemula
distributed-optimization,Pomodoro: Progressive Decomposition Methods with Acceleration
User: vienmai
distributed-optimization,We present UDP-based aggregation algorithms for federated learning. We also present a scalable framework for practical federated learning. We empirically evaluate the performance by training deep convolutional neural networks on the MNIST dataset and the CIFAR10 dataset.
User: vineeths96
distributed-optimization,We present a set of all-reduce compatible gradient compression algorithms which significantly reduce the communication overhead while maintaining the performance of vanilla SGD. We empirically evaluate the performance of the compression methods by training deep neural networks on the CIFAR10 dataset.
User: vineeths96
distributed-optimization,We present an algorithm to dynamically adjust the data assigned for each worker at every epoch during the training in a heterogeneous cluster. We empirically evaluate the performance of the dynamic partitioning by training deep neural networks on the CIFAR10 dataset.
User: vineeths96
distributed-optimization,All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
User: weimingwill
Home Page: https://github.com/EasyFL-AI/EasyFL
distributed-optimization,EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization. NeurIPS, 2022
User: williamyi96
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