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Neighborhood Gradient Clustering: An Efficient Decentralized Learning
  Method for Non-IID Data Distributions

Neighborhood Gradient Clustering: An Efficient Decentralized Learning Method for Non-IID Data Distributions

28 September 2022
Sai Aparna Aketi
Sangamesh Kodge
Kaushik Roy
ArXivPDFHTML

Papers citing "Neighborhood Gradient Clustering: An Efficient Decentralized Learning Method for Non-IID Data Distributions"

2 / 2 papers shown
Title
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning
  Models
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models
Nastaran Saadati
Minh Pham
Nasla Saleem
Joshua R. Waite
Aditya Balu
Zhanhong Jiang
Chinmay Hegde
Soumik Sarkar
MoMe
45
1
0
11 Apr 2024
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation
  for Decentralized Learning
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning
Deepak Ravikumar
Gobinda Saha
Sai Aparna Aketi
Kaushik Roy
11
1
0
09 Apr 2023
1