Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things (AIChallengeIoT)

The 3rd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things (AIChallengeIoT 2021) will be held in conjunction with ACM SenSys 2021.

Location: Convento de São Francisco: Room Aeminium - C1A2

Youtube channel:

Workshop Program (Wednesday, November 17, 2021)

NOTE: All times below are in Coordinated Universal Time (GMT). To convert to your local time zone, you may visit here.
Some examples:

10:00 - 10:10 (GMT time zone): Welcome & Opening Remarks

Technical Session 1

10:10 - 10:30 (GMT time zone): Better Never Than Late: Timely Edge Video Analytics Over the Air
Vinod Nigade, Ramon Winder, Henri Bal (VU Amsterdam), Lin Wang (VU Amsterdam & TU Darmstadt)

10:30 - 10:50 (GMT time zone): Characterising the Role of Pre-Processing Parameters in Audio-based Embedded Machine Learning
Wiebke Toussaint (Delft University of Technology), Akhil Mathur (Nokia Bell Labs), Aaron Yi Ding (Delft University of Technology), Fahim Kawsar (Nokia Bell Labs)

10:50 - 11:10 (GMT time zone): Vision Paper: Towards Software-Defined Video Analytics with Cross-Camera Collaboration
Juheon Yi (Seoul National University), Chulhong Min, Fahim Kawsar (Nokia Bell Labs)

11:10 - 11:30 (GMT time zone): Break

Technical Session 2

11:30 - 11:50 (GMT time zone): AI-assisted Cell-Level Fault Detection and Localization in Solar PV Electroluminescence Images
Ahan M R, Akshay Nambi, Tanuja Ganu, Dhananjay Nahata, Shivkumar Kalyanaraman (Microsoft Research) - Best Paper Award

11:50 - 12:10 (GMT time zone): Exploring Co-dependency of IoT Data Quality and Model Robustness in Precision Cattle Farming
Franz Papst (TU Graz / CSH Vienna), Katharina Schodl (ZuchtData EDV-Dienstleistungen GmbH), Olga Saukh (TU Graz / CSH Vienna)

12:10 - 12:30 (GMT time zone): OntoAugment: Ontology Matching through Weakly-Supervised Label Augmentation
Fabio Maresca (University of Naples Federico II), Gürkan Solmaz (NEC Laboratories Europe), Flavio Cirillo (NEC Laboratories Europe)

12:30 - 12:50 (GMT time zone): Through-Screen Visible Light Sensing Empowered by Embedded Deep Learning Hao Liu, Hanting Ye, Jie Yang, Qing Wang (Delft University of Technology)

12:50 - 14:00 (GMT time zone): Break

Technical Session 3

14:00 - 14:20 (GMT time zone): Deep Contextualized Compressive Offloading for Images Bo Chen (University of Illinois at Urbana-Champaign), Zhisheng Yan (George Mason University), Hongpeng Guo, Zhe Yang(University of Illinois at Urbana-Champaign), Ahmed Ali-Eldin (Chalmers University of Technology and UMass Amherst), Prashant Shenoy (University of Massachusetts Amherst), Klara Nahrstedt (University of Illinois at Urbana-Champaign)

14:20 - 14:40 (GMT time zone): Federated Learning for Internet of Things Tuo Zhang, Chaoyang He, Tianhao Ma, Lei Gao, Mark Ma, Salman Avestimehr (University of Southern California)

14:40 - 15:00 (GMT time zone): Device or User: Rethinking Federated Learning in Personal-Scale Multi-Device Environments Hyunsung Cho (Carnegie Mellon University), Akhil Mathur, Fahim Kawsar (Nokia Bell Labs)

15:00 - 15:20 (GMT time zone): Sensor Virtualization for Efficient Sharing of Mobile and Wearable Sensors Jian Xu (Stony Brook University), Arani Bhattacharya (IIIT-Delhi), Aruna Balasubramanian (Stony Brook University), Donald E. Porter (UNC Chapel Hill)

15:20 - 15:40 (GMT time zone): Decentralized Federated Learning Framework for the Neighborhood: A Case Study on Residential Building Load Forecasting Jiechao Gao, Wenpeng Wang, Zetian Liu, Md Fazlay Rabbi Masum Billah, Brad Campbell (University of Virginia)

15:40 - 15:50 (GMT time zone): Closing Remarks

Call for Papers

The call for papers is available here

Important Dates

Workshop History

Organizing Committee

Program Chairs
Steering Committee
Program Committee