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Implicit Model Specialization through DAG-based Decentralized Federated
  Learning

Implicit Model Specialization through DAG-based Decentralized Federated Learning

1 November 2021
Jossekin Beilharz
Bjarne Pfitzner
R. Schmid
Paul Geppert
Bernd Arnrich
A. Polze
    FedML
    OOD
ArXivPDFHTML

Papers citing "Implicit Model Specialization through DAG-based Decentralized Federated Learning"

16 / 16 papers shown
Title
Blockchain-Federated-Learning and Deep Learning Models for COVID-19
  detection using CT Imaging
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT Imaging
R. Kumar
A. Khan
Sinmin Zhang
Jay Kumar
Wenyong Wang
Yousif Abuidris
Zakria
Waqas Amin
Sidra Shafiq
WenYong Wang
OOD
FedML
67
326
0
10 Jul 2020
Self-organizing Democratized Learning: Towards Large-scale Distributed
  Learning Systems
Self-organizing Democratized Learning: Towards Large-scale Distributed Learning Systems
Minh N. H. Nguyen
Shashi Raj Pandey
Tri Nguyen Dang
Eui-nam Huh
N. H. Tran
Walid Saad
Choong Seon Hong
FedML
50
32
0
07 Jul 2020
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
299
556
0
30 Mar 2020
Three Approaches for Personalization with Applications to Federated
  Learning
Three Approaches for Personalization with Applications to Federated Learning
Yishay Mansour
M. Mohri
Jae Hun Ro
A. Suresh
FedML
131
575
0
25 Feb 2020
Personalized Federated Learning: A Meta-Learning Approach
Personalized Federated Learning: A Meta-Learning Approach
Alireza Fallah
Aryan Mokhtari
Asuman Ozdaglar
FedML
152
568
0
19 Feb 2020
Advances and Open Problems in Federated Learning
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedML
AI4CE
226
6,247
0
10 Dec 2019
Federated Evaluation of On-device Personalization
Federated Evaluation of On-device Personalization
Kangkang Wang
Rajiv Mathews
Chloé Kiddon
Hubert Eichner
F. Beaufays
Daniel Ramage
FedML
58
284
0
22 Oct 2019
The Non-IID Data Quagmire of Decentralized Machine Learning
The Non-IID Data Quagmire of Decentralized Machine Learning
Kevin Hsieh
Amar Phanishayee
O. Mutlu
Phillip B. Gibbons
137
568
0
01 Oct 2019
Decentralized Federated Learning: A Segmented Gossip Approach
Decentralized Federated Learning: A Segmented Gossip Approach
Chenghao Hu
Jingyan Jiang
Zhi Wang
FedML
51
185
0
21 Aug 2019
LEAF: A Benchmark for Federated Settings
LEAF: A Benchmark for Federated Settings
S. Caldas
Sai Meher Karthik Duddu
Peter Wu
Tian Li
Jakub Konecný
H. B. McMahan
Virginia Smith
Ameet Talwalkar
FedML
134
1,419
0
03 Dec 2018
Scaling Nakamoto Consensus to Thousands of Transactions per Second
Scaling Nakamoto Consensus to Thousands of Transactions per Second
Chenxing Li
Peilun Li
Dong-ping Zhou
Wenyuan Xu
Fan Long
Andrew Chi-Chih Yao
LRM
48
178
0
10 May 2018
Casper the Friendly Finality Gadget
Casper the Friendly Finality Gadget
Vitalik Buterin
V. Griffith
50
620
0
25 Oct 2017
An Overview of Multi-Task Learning in Deep Neural Networks
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder
CVBM
146
2,826
0
15 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
813
11,894
0
09 Mar 2017
Decentralized Collaborative Learning of Personalized Models over
  Networks
Decentralized Collaborative Learning of Personalized Models over Networks
Paul Vanhaesebrouck
A. Bellet
Marc Tommasi
FedML
52
230
0
17 Oct 2016
Gossip Learning with Linear Models on Fully Distributed Data
Gossip Learning with Linear Models on Fully Distributed Data
Róbert Ormándi
István Hegedüs
Márk Jelasity
FedML
OOD
63
169
0
07 Sep 2011
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