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Cross-Silo Federated Learning Across Divergent Domains with Iterative
  Parameter Alignment

Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment

8 November 2023
Matt Gorbett
Hossein Shirazi
Indrakshi Ray
    FedML
ArXivPDFHTML

Papers citing "Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment"

4 / 4 papers shown
Title
Git Re-Basin: Merging Models modulo Permutation Symmetries
Git Re-Basin: Merging Models modulo Permutation Symmetries
Samuel K. Ainsworth
J. Hayase
S. Srinivasa
MoMe
241
313
0
11 Sep 2022
Personalized Federated Learning by Structured and Unstructured Pruning
  under Data Heterogeneity
Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity
Saeed Vahidian
Mahdi Morafah
Bill Lin
59
58
0
02 May 2021
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Othmane Marfoq
Chuan Xu
Giovanni Neglia
Richard Vidal
FedML
43
85
0
23 Oct 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,886
0
15 Sep 2016
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