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Enhancing Object Detection with Hybrid dataset in Manufacturing
  Environments: Comparing Federated Learning to Conventional Techniques

Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques

16 August 2024
Vinit Hegiste
Snehal Walunj
Jibinraj Antony
T. Legler
Martin Ruskowski
    FedML
ArXiv (abs)PDFHTML

Papers citing "Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques"

4 / 4 papers shown
Title
Federated Action Recognition for Smart Worker Assistance Using FastPose
Federated Action Recognition for Smart Worker Assistance Using FastPose
Vinit Hegiste
Vidit Goyal
T. Legler
Martin Ruskowski
64
0
0
18 Aug 2025
Towards Robust Federated Image Classification: An Empirical Study of
  Weight Selection Strategies in Manufacturing
Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing
Vinit Hegiste
T. Legler
Martin Ruskowski
211
3
0
19 Aug 2024
Addressing Heterogeneity in Federated Learning: Challenges and Solutions
  for a Shared Production Environment
Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production EnvironmentIEEE International Symposium on Multimedia (ISM), 2024
T. Legler
Vinit Hegiste
Ahmed Anwar
Martin Ruskowski
147
4
0
18 Aug 2024
Seamless Integration: Sampling Strategies in Federated Learning Systems
Seamless Integration: Sampling Strategies in Federated Learning Systems
T. Legler
Vinit Hegiste
Martin Ruskowski
FedML
193
2
0
18 Aug 2024
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