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Research No. 1
Research No. 1
MLOps & Edge/Cloud & 5G/6G - with ETRI/Samsung
MLOps & Edge/Cloud & 5G/6G - with ETRI/Samsung
Kubernetics/Kubeflow based end-to-end ML framework
Dynamic VM resource scaling
MLOps for 5G/6G systems
Research No. 2
Research No. 2
Distributed AI- with Princeton/NTU/KAIST/ADD
Distributed AI- with Princeton/NTU/KAIST/ADD
Federated Learning (Personalization, Resource Management, Dataset Management etc.,)
Split Federated Learning
Decentralized Federated Learning
Research No. 3
Research No. 3
AI & IoT on Edge/Cloud Computing- with ETRI/KAIST
AI & IoT on Edge/Cloud Computing- with ETRI/KAIST
Edge/Cloud based IoT system development
Resource Management for AI task from IoT
Research No. 4
Research No. 4
Generative AI based Multimedia Networking- with ETRI
Generative AI based Multimedia Networking- with ETRI
Generative AI-empowered Media Streaming
Generative AI-empowered Network Management
Example of social-viewport map
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