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Dominating Set Model Aggregation for communication-efficient decentralized deep learning.

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第一作者： Fateme,Fotouhi

第一单位： Department of Mechanical Engineering, Iowa State University, Ames, 50011, IA, USA; Department of Computer Science, Iowa State University, Ames, 50011, IA, USA.

作者： Fateme,Fotouhi ^[1] ; Aditya,Balu ^[2] ; Zhanhong,Jiang ^[3] ; Yasaman,Esfandiari ^[4] ; Salman,Jahani ^[5] ; Soumik,Sarkar ^[6]

作者单位： Department of Mechanical Engineering, Iowa State University, Ames, 50011, IA, USA; Department of Computer Science, Iowa State University, Ames, 50011, IA, USA. ^[1] Department of Mechanical Engineering, Iowa State University, Ames, 50011, IA, USA. ^[2] Johnson Controls International, 507 East Michigan St, Milwaukee, 53202, WI, USA. ^[3] HRL Laboratories, 3011 Malibu Canyon Rd, Malibu, 90265, CA, USA. ^[4] SAP Labs, LLC, 3366 Via Lido, Newport Beach, 92663, CA, USA. ^[5] Department of Mechanical Engineering, Iowa State University, Ames, 50011, IA, USA; Department of Computer Science, Iowa State University, Ames, 50011, IA, USA. Electronic address: soumiks@iastate.edu. ^[6]

关键词 Communication-efficient Connected dominating set Convergence rate Decentralized learning Distributed deep learning

医学主题词算法(Algorithms);信息交流(Communication)

DOI 10.1016/j.neunet.2023.11.057

PMID 38091762

发布时间 2024-02-06

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