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Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning
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Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning

Deepak Ravikumar
Gobinda Saha
Sai Aparna Aketi
Kaushik Roy
ArXiv (abs)PDFHTML

Papers citing "Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning"

3 / 3 papers shown
Title
Topology-Aware Knowledge Propagation in Decentralized Learning
Topology-Aware Knowledge Propagation in Decentralized Learning
Mansi Sakarvadia
Nathaniel Hudson
Tian Li
Ian Foster
Kyle Chard
67
0
0
16 May 2025
Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data
Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data
Sai Aparna Aketi
Kaushik Roy
FedML
103
2
0
24 Oct 2023
Contrastive Representation Distillation
Contrastive Representation Distillation
Yonglong Tian
Dilip Krishnan
Phillip Isola
270
1,059
0
23 Oct 2019

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