Dear Colleagues,
The evolution of mobile networks into heterogeneous ecosystems of wearables and edge infrastructure has brought us to a critical junction: the "AI Compute-Energy Crisis." As modern models push the thermal and energy limits of constrained hardware, how do we make intelligence truly sustainable?
We invite you to submit your latest research to EMPOWER 2026 (Energy-efficient Machine learning for Performance-Optimized Wireless and Edge NetwoRks), held in conjunction with MobiSys 2026 in Cambridge, UK.
EMPOWER bridges the gap between the machine learning and mobile systems communities. We explore the full lifecycle of mobile intelligence through two primary lenses:
Key Topics Include:
| Milestone | Date (AoE) |
|---|---|
| Submission Deadline | April 02, 2026 |
| Notification of Acceptance | April 20, 2026 |
| Camera-Ready Deadline | April 27, 2026 |
| Workshop Date | June 25/26, 2026 (TBC) |
For submission guidelines and the full Call for Papers, please visit our website:
https://empower-mobisys.github.io/
Workshop Chairs:
Matteo Mendula (CTTC), Lintao Ye (HUST), Paolo Dini (CTTC), Gustavo de Veciana (UT Austin), Carla Fabiana Chiasserini (Politecnico di Torino), Sujata Pal (IIT Ropar), Vidushi Agarwal (U of Guelph), Omer Rana (Cardiff), Sushmita Ruj (UNSW), Balaji Palanisamy (U of Pittsburgh), Nitin Auluck (IIT Ropar).
We look forward to seeing your work in Cambridge!
Best regards,
The EMPOWER 2026 Organizing Committee