All Stories

  1. FBLayout: Optimizing Memory Layout for Efficient LLM Finetuning on Mobile GPUs
  2. Benchmarking Memory Architectures for Mobile Agents in Short-Term and Long-Term Applications
  3. PipeMLLM: Accelerating on-device Multimodal LLM Inference via Speculative Sensing and Encoding
  4. Demo: FreePose: Real-Time View-Invariant 3D Human Pose Estimation via Motion-View Disentanglement
  5. Toward Foundation Models for Online Complex Event Detection in CPS-IoT: A Case Study
  6. Demo Abstract: An LLM-Powered Multimodal Mobile Sensing System for Personalized and Interactive Health Behavior Analysis
  7. MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT
  8. InfoMAE: Pair-Efficient Cross-Modal Alignment for Multimodal Time-Series Sensing Signals
  9. Towards a Performance-Driven Device-Edge-Cloud Relationship
  10. MMEdge: Real-time Multimodal Inference via Cross-Modal Speculative Sensing and Encoding
  11. SensorBench: Benchmarking LLMs in Coding-Based Sensor Processing
  12. Are Time Series Foundation Models Ready to Revolutionize Predictive Building Analytics?
  13. ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease
  14. Mozart: A Mobile ToF System for Sensing in the Dark through Phase Manipulation
  15. Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training
  16. Design and Deployment of Multi-Modal Federated Learning Systems for Alzheimer's Disease Monitoring
  17. HiToF
  18. UltraDepth
  19. FedDL
  20. ClusterFL