Decentralized machine learning using compressed push-pull averaging

Danner, Gábor; Hegedűs, István; Jelasity, Márk

doi:10.1145/3428662.3428792

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Table 11: Correspondence Between the Chapters And The Public...1

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2023

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“…Chapter 3 Chapter 4 Chapter 5 Chapter 6 DAIS 2015 [21] • SCN 2018 [19] • DAIS 2019 [40] • JPDC 2021 [41] • • ECML 2019 [39] • ICDCS 2018 [23] • Euro-Par 2018 [22] • DICG 2020 [20] •…”

Section: Table 11: Correspondence Between the Chapters And The Public...mentioning

confidence: 99%

Efficient Gossip Algorithms for Machine Learning

Danner

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First of all, I would like to thank my supervisor, Dr. Márk Jelasity, for guiding and supporting my research and providing the opportunity to work on fascinating topics.Next, I would like to thank my colleagues who helped me to discover interesting areas of science and helped give birth to new ideas during our discussions. In alphabetical order, they are Dr. Árpád Berta, Dr. István Hegedűs and Dr. Róbert Ormándi. I would also like to thank David P. Curley for correcting this thesis from a linguistic point of view.Last but not least, I would like to thank my family and friends for supporting me all this time.

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Section: Table 11: Correspondence Between the Chapters And The Public...mentioning

confidence: 99%

Efficient Gossip Algorithms for Machine Learning

Danner

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Improving Gossip Learning via Limited Model Merging

Danner,

Hegedűs,

Jelasity

2023

Communications in Computer and Information Science

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RationaleThe CCIS series is devoted to the publication of proceedings of computer science conferences. Its aim is to efficiently disseminate original research results in informatics in printed and electronic form. While the focus is on publication of peer-reviewed full papers presenting mature work, inclusion of reviewed short papers reporting on work in progress is welcome, too. Besides globally relevant meetings with internationally representative program committees guaranteeing a strict peer-reviewing and paper selection process, conferences run by societies or of high regional or national relevance are also considered for publication.

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Decentralized machine learning using compressed push-pull averaging

Cited by 2 publications

References 17 publications

Efficient Gossip Algorithms for Machine Learning

Efficient Gossip Algorithms for Machine Learning

Improving Gossip Learning via Limited Model Merging

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