DM-PFL : Hitchhiking Generic Federated Learning for Efficient Shift-Robust Personalization

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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Computer Science

100
Federated Learning Computer Science
80
Model Computer Science
20
Real World Computer Science
20
Workload Computer Science
20
Learning Scheme Computer Science
20
Mobile Application Computer Science
20
Heterogeneous Data Computer Science
20
Communication Cost Computer Science
20
Computation Cost Computer Science
20
IoT Application Computer Science
20
Procedure Computer Science
20
Evaluation Computer Science
20
Accuracy Computer Science

Keyphrases

100
Personalization Keyphrases
100
Federated Learning Keyphrases
100
Personalized Federa... Keyphrases
66
Global Model Keyphrases
66
Mobile Application Keyphrases
66
Distribution Shift Keyphrases
66
Personalized Model Keyphrases
33
Time Distribution Keyphrases
33
Specific Model Keyphrases
33
Computation Cost Keyphrases
33
Communication Cost Keyphrases
33
Learning Scheme Keyphrases
33
Heterogeneous Data Keyphrases
33
Training Overhead Keyphrases
33
IoT Applications Keyphrases
33
Test Accuracy Keyphrases
33
Training Workload Keyphrases
33
Parameter Sharing Keyphrases
33
Sparse Training Keyphrases
33
Masking Mechanism Keyphrases

INIS

100
learning INIS
40
distribution INIS
40
applications INIS
40
data INIS
40
trains INIS
20
accuracy INIS
20
levels INIS
20
evaluation INIS
20
comparative evaluat... INIS
20
weight INIS
20
cost INIS
20
solutions INIS
20
calculation methods INIS
20
devices INIS
20
masking INIS
20
datasets INIS
Research OutputsResearch Output authored by DM-PFL is tagged with the concept