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On the Limit Performance of Floating Gossip

On the Limit Performance of Floating Gossip

16 February 2023
Gianluca Rizzo
Noelia Pérez Palma
M. Marsan
Vincenzo Mancuso
    FedML
ArXivPDFHTML

Papers citing "On the Limit Performance of Floating Gossip"

5 / 5 papers shown
Title
Accelerating Gossip SGD with Periodic Global Averaging
Accelerating Gossip SGD with Periodic Global Averaging
Yiming Chen
Kun Yuan
Yingya Zhang
Pan Pan
Yinghui Xu
W. Yin
52
44
0
19 May 2021
Opportunistic Federated Learning: An Exploration of Egocentric
  Collaboration for Pervasive Computing Applications
Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications
Sangsu Lee
Xi Zheng
Jie Hua
H. Vikalo
Christine Julien
FedML
42
25
0
24 Mar 2021
GossipGraD: Scalable Deep Learning using Gossip Communication based
  Asynchronous Gradient Descent
GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent
J. Daily
Abhinav Vishnu
Charles Siegel
T. Warfel
Vinay C. Amatya
39
95
0
15 Mar 2018
A Capacity Scaling Law for Artificial Neural Networks
A Capacity Scaling Law for Artificial Neural Networks
Gerald Friedland
M. M. Krell
47
17
0
20 Aug 2017
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
55
168
0
07 Sep 2011
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