EMPOWER 2026 bridges the gap between the machine learning community and the mobile systems community.
Mobile and wireless networks are evolving toward highly heterogeneous ecosystems, encompassing smartphones, wearables, and dense edge infrastructures. Simultaneously, the integration of AI into these systems has triggered an AI Compute–Energy Crisis, where the demands of modern models often exceed the thermal and energy limits of constrained hardware.
We explore the full lifecycle of mobile intelligence. We solicit contributions that span the spectrum from algorithmic innovations to real-world system deployments, organized into two distinct tracks.
Workshop Tracks
To address the diverse challenges of the AI–Mobile ecosystem, EMPOWER 2026 welcomes submissions under two main tracks:
Track 1: AI for Networks
Focusing on scalable, trustworthy intelligence to optimize non-stationary network conditions and next-generation connectivity.
- AI-native 6G and edge architectures
- Trustworthy network operations and automation
- Intelligent spectrum management
- AI for network security and resilience
Track 2: Systems for AI
Focusing on lightweight architectures, brain-inspired computing, and intelligent AI workload scheduling to make intelligence viable on the edge.
- On-device Generative AI (GenAI)
- Model compression and quantization
- Brain-inspired computing and neuromorphic systems
- Energy-efficient AI workload scheduling
- Thermal-aware mobile computing
Important Dates
| Event | Date |
|---|---|
| Submission Deadline | April 02, 2026 (AoE) |
| Notification of Acceptance | April 20, 2026 (AoE) |
| Camera-Ready Deadline | April 27, 2026 (AoE) |
| Workshop Date | June 25, 2026 |
(AoE = Anywhere on Earth)