MLI: An API for Distributed Machine Learning

TL;DR

MLI is an API that simplifies the development of scalable, high-performance distributed machine learning algorithms, enabling easier implementation with minimal complexity and competitive results.

Contribution

The paper introduces MLI, a novel API that streamlines building distributed machine learning algorithms with improved scalability and performance.

Findings

Enables development of various ML algorithms with minimal complexity

Achieves competitive performance and scalability

Simplifies distributed ML algorithm implementation

Abstract

MLI is an Application Programming Interface designed to address the challenges of building Machine Learn- ing algorithms in a distributed setting based on data-centric computing. Its primary goal is to simplify the development of high-performance, scalable, distributed algorithms. Our initial results show that, relative to existing systems, this interface can be used to build distributed implementations of a wide variety of common Machine Learning algorithms with minimal complexity and highly competitive performance and scalability.