SCHEDULE

Opening Session

• • [9:30 - 9:40] Welcome and opening remarks

Invited Talk  [9:45 - 11]  

• •    Federated Learning under Operational Constraints: A Study on Statistical and Device Heterogeneity  

Paper Presentations [11-1]

• • [11-11:20] Paper Id 6072: Yuragi Learning: A Brain-Inspired Decision-Making Framework for Green AI Applications

  • [11:20 - 11:50] Paper Id 6077: Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0

  • [11:50 - 11:20] Paper Id 6107: Quantization in Energy-Efficient Federated Learning

  • [12:20 - 12:50] Paper Id 6173: Efficient Domain-Specific LLMs: Energy Profiling in Medical QA Tasks

Closing Session

• • [12:50 - 1:00] Closing remarks