Redesigning decentralized ML algorithms: A systems view

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Event details

Date 13.12.2021 13:0015:00  
Speaker Akash Dhasade
Category Conferences - Seminars
EDIC candidacy exam
exam president: Prof. James Larus
thesis advisor: Prof. Anne-Marie Kermarrec
co-examiner: Prof. Martin Jaggi

Abstract
soon available

Background papers
Communication-efficient learning of deep networks from decentralized data, by McMahan, H B., et al.
Tackling the objective inconsistency problem in heterogeneous federated optimisation, by Wang, J., et al.
Towards mitigating device heterogeneity in federated learning via adaptive model quantization, by Ahmed M. Abdelmoniem, Marco Canini

Practical information

  • General public
  • Free

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EDIC candidacy exam

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