Distributed Computing

88 papers with code • 0 benchmarks • 1 datasets

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Libraries

Use these libraries to find Distributed Computing models and implementations
2 papers
22,856
2 papers
5,137

Datasets


Most implemented papers

Optuna: A Next-generation Hyperparameter Optimization Framework

pfnet/optuna 25 Jul 2019

We will present the design-techniques that became necessary in the development of the software that meets the above criteria, and demonstrate the power of our new design through experimental results and real world applications.

A System for Massively Parallel Hyperparameter Tuning

liamcli/darts_asha ICLR 2018

Modern learning models are characterized by large hyperparameter spaces and long training times.

FedML: A Research Library and Benchmark for Federated Machine Learning

chaoyanghe/Awesome-Federated-Learning 27 Jul 2020

Federated learning (FL) is a rapidly growing research field in machine learning.

Residual-INR: Communication Efficient On-Device Learning Using Implicit Neural Representation

sharc-lab/residual-inr 10 Aug 2024

However, as the scale of the edge computing system is getting larger, communication among devices is becoming the bottleneck because of the limited bandwidth of wireless communication leads to large data transfer latency.

CoCoA: A General Framework for Communication-Efficient Distributed Optimization

gingsmith/cocoa 7 Nov 2016

The scale of modern datasets necessitates the development of efficient distributed optimization methods for machine learning.

Billion-scale Network Embedding with Iterative Random Projection

ZW-ZHANG/RandNE 7 May 2018

Network embedding, which learns low-dimensional vector representation for nodes in the network, has attracted considerable research attention recently.

Orchestral: a lightweight framework for parallel simulations of cell-cell communication

Aratz/orchestral 28 Jun 2018

By the use of operator-splitting we decouple the simulation of reaction-diffusion kinetics inside the cells from the simulation of molecular cell-cell interactions occurring on the boundaries between cells.

Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering

zhanglabtools/dbmd 10 Feb 2020

Such a method should scale up well, model the heterogeneous noise, and address the communication issue in a distributed system.

Data-Juicer: A One-Stop Data Processing System for Large Language Models

alibaba/data-juicer 5 Sep 2023

A data recipe is a mixture of data from different sources for training LLMs, which plays a vital role in LLMs' performance.

Scalable Agent-Based Modeling for Complex Financial Market Simulations

aaron-wheeler/brokerage.jl 22 Dec 2023

To the best of our knowledge, this study is the first to implement multiple assets, parallel agent decision-making, a continuous double auction mechanism, and intelligent agent types in a scalable real-time environment.