A New Framework For Distributed Submodular Maximization

By Editorial Team · October 1, 2026 · 9 min read

A New Framework For Distributed Submodular Maximization Information Guide

  1. Overview on A New Framework For Distributed Submodular Maximization
  2. Main Features
  3. Recent Updates
  4. Full Guide
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Overview on A New Framework For Distributed Submodular Maximization

A New Framework for Distributed Submodular Maximization Guide
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Main Features

Information Alina Ene: The Power of Randomization Distributed Submodular Maximization on Massive Datasets News
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Recent Updates

Full Building a distributed training framework from first principles News
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Summarizing Massive Data Sets via Large-Scale Submodular Maximization - Prof. Andreas Krause
Summarizing Massive Data Sets via Large-Scale Submodular Maximization - Prof. Andreas Krause
Kent Quanrud: Streaming Algorithms for Submodular Function Maximization
Kent Quanrud: Streaming Algorithms for Submodular Function Maximization
M. Zadimoghaddam: Randomized Composable Core-sets for Submodular Maximization
M. Zadimoghaddam: Randomized Composable Core-sets for Submodular Maximization
Submodularity: Theory and Applications I
Submodularity: Theory and Applications I
Fast Distributed Submodular Cover: Public-Private Data Summarization
Fast Distributed Submodular Cover: Public-Private Data Summarization
Beyond Submodular Maximization via One-Sided Smoothness and Meta-Submodularity
Beyond Submodular Maximization via One-Sided Smoothness and Meta-Submodularity
Distributed load balancing: a new framework and improved guarantees
Distributed load balancing: a new framework and improved guarantees
Fast and Simple Algorithms for Constrained Submodular Maximization
Fast and Simple Algorithms for Constrained Submodular Maximization
STOC 2022 - On the Complexity of Dynamic Submodular Maximization
STOC 2022 - On the Complexity of Dynamic Submodular Maximization
5-2 Submodular Maximization
5-2 Submodular Maximization
ICRA '20: Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning
ICRA '20: Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning

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Last Updated: October 1, 2026

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Sketching and Randomization for Distributed Submodular and Coverage Optimization Guide
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Summary

A wide variety of problems in machine learning, including exemplar clustering, document summarization, and sensor placement, ... Vahab Mirrokni, Google simons.berkeley.edu/talks/vahab-mirrokni-2016-11-17 Learning, Algorithm Design and Beyond ... Yandex School of Data Analysis Conference Machine Learning: Prospects and Applications ... Morteza Zadimoghaddam: Randomized Composable Core-sets for Stefanie Jegelka, MIT simons.berkeley.edu/talks/andreas-krause-stefanie-jegelka-01-23-2017-1 Foundations of Machine ... In this paper, we introduce the public-private A Google Algorithms TechTalk, 2021/01/14, presented by Mehrdad Ghadiri. 12th Innovations in Theoretical Computer Science Conference (ITCS 2021) itcs-conf.org/ ... correct another optimization related to subm modular functions is the subm modular

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