BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Redesigning decentralized ML algorithms: A systems view
DTSTART:20211213T130000
DTEND:20211213T150000
DTSTAMP:20260501T054642Z
UID:b6efa83c70c45437b93e6b343261d3c3bed25d9e9aeb83eaf1e42aec
CATEGORIES:Conferences - Seminars
DESCRIPTION:Akash Dhasade\nEDIC candidacy exam\nexam president: Prof. Jame
 s Larus\nthesis advisor: Prof. Anne-Marie Kermarrec\nco-examiner: Prof. Ma
 rtin Jaggi\n\nAbstract\nsoon available\n\nBackground papers\nCommunication
 -efficient learning of deep networks from decentralized data\, by McMahan\
 , H B.\, et al.\nTackling the objective inconsistency problem in heterogen
 eous federated optimisation\, by Wang\, J.\, et al.\nTowards mitigating de
 vice heterogeneity in federated learning via adaptive model quantization\,
  by Ahmed M. Abdelmoniem\, Marco Canini
LOCATION:
STATUS:CANCELLED
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END:VCALENDAR