Research Topics

Cloud Continuum

Model Generation & Training Platform for Edge Continuum

Sub Project 3 - A

  • Prof. Choong Seon Hong

Adaptive-center based federated parallel training for edge continuum

  • Virtual-edge mapping for device data management and model personalization
  • Adaptive-center based federated parallel learning considering data/model feature

Advanced system using system integration and resource sharing in cloud-edge continuum

  • Fine-tuning using dynamic soft-update for personalized global model
  • Edge-device network resource assignment for learning resource & information sharing

Fine-Tuning & Cloud Continuum Integration Architecture for Personalized Model

Cloud-Edge-Device Integrated Serverless Computing

Sub Project 3 - B

  • Prof. Younghan Kim

Serverless computing on Cloud-Edge-Device integrated environment

  • Event-service structure integration for federated learning
  • Resource efficiency & auto scaling on Cloud-Edge-Device integrated serverless computing

Multi-Cloud serverless computing integration

  • Multi cloud FaaS framework development system integration
  • Heterogeneous integration learning service model adaptation

Serverless Computing on Cloud-Edge-Device Architecture

Heterogeneous/Multi Serverless Computing

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