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Accenture (Switzerland)

Switzerland

41 papers here396 citations across 41
fields
  • cs.LG12
  • cs.CY7
  • cs.SE6
  • cs.CL4
  • cs.CV4
  • cs.AI3
  • cs.CR1
  • cs.IT1
ROR 041r3e346OpenAlex

affiliations via OpenAlex

output
20142026
most citedFederated Multi-Task Learning under a Mixture of Distributions

94 citations

researchers with a paper here
  • Richard Vidal5 · h 12
  • Sanjay Podder5 · h 12
  • Adam P. Burden4 · h 7
  • B. Rakova4 · h 7
  • G. Neglia4 · h 29
  • Laetitia Kameni4 · h 9
  • Othmane Marfoq4 · h 6
  • Rohit Mehra4 · h 8
  • Vikrant S. Kaulgud4 · h 14
  • V. Sharma4 · h 14
  • Luca Costabello3 · h 17
  • Priya Pathania3 · h 4
collaborating institutions
  • Accenture (United States)US7 papers
  • University College LondonGB3 papers
  • Accenture (United Kingdom)GB2 papers
  • École Polytechnique Fédérale de LausanneCH2 papers
  • Georgia Institute of TechnologyUS2 papers
  • Observatoire de la Côte d’AzurFR2 papers
  • Stanford UniversityUS2 papers
  • Technical University of MunichDE2 papers
  • Université Côte d'AzurFR2 papers
  • University of BolognaIT2 papers
  • University of British ColumbiaCA2 papers
  • University of Illinois Urbana-ChampaignUS2 papers
Showing 2023Show all

1 paper · 1 filter

cs.LG2023

Federated Learning for Data Streams

Othmane Marfoq, Giovanni Neglia, Laetitia Kameni +1

Federated learning (FL) is an effective solution to train machine learning models on the increasing amount of data generated by IoT devices and smartphones while keeping such data…

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