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DC1: Sparse on-device training
DC3: Battery-free Embedded AI
DC5: Task-Agnostic Multimodal Foundation Models on Edge Devices
DC8: Secure explainable Embedded AI
DC9: Diagnosing Embedded AI Models
DC11: Embedded active inference for autonomous robot manipulation
DC12: Split Learning across underwater and surface devices
DC15: Continual on-tiny-device learning for dynamic environments
DC16: Networked scalable learning
DC17: Privacy in Embedded AI
DC18: Exploring uncertainty quantification of on-device learning for health
