Srinivasa Kanduru

Adaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms (2024)

Asia and South Pacific Design Automation Conference, Proceedings of the Asia and South Pacific Design Automation Conference

Taufique Zain, Miele Antonio, Liljeberg Pasi, Kanduri Anil

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Work-in-Progress: Context and Noise Aware Resilience for Autonomous Driving Applications (2024)

International Conference on Hardware/Software Codesign and System Synthesis, International Conference on Hardware/Software Codesign and System Synthesis

Alikhani, Hamidreza;Kanduri, Anil; Liljeberg, Pasi; Rahmani, Amir M.; Dutt, Nikil

(O2 Muu julkaisu )

SEAL: Sensing Efficient Active Learning on Wearables through Context-awareness (2024)

Design, Automation, and Test in Europe Conference and Exhibition, Proceedings : Design, Automation, and Test in Europe Conference and Exhibition

Alikhani, Hamidreza; Wang, Ziyu; Kanduri, Anil; Liljeberg, Pasi; Rahmani, Amir M.; Dutt, Nikil

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Adaptive approximate computing in edge AI and IoT applications: A review (2024)

Journal of Systems Architecture

Damsgaard Hans Jakob, Grenier Antoine, Katare Dewant, Taufique Zain, Shakibhamedan Salar, Troccoli Tiago, Chatzitsompanis Georgios, Kanduri Anil, Ometov Aleksandr, Ding Aaron Yi, Taherinejad Nima, Karakonstantis Georgios, Woods Roger, Nurmi Jari

(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä)

EA2: Energy Efficient Adaptive Active Learning for Smart Wearables (2024)

International Symposium on Low Power Electronics and Desig

Alikhani, Hamidreza; Wang, Ziyu; Kanduri, Anil; Liljeberg, Pasi; Rahmani, Amir M.; Dutt, Nikil

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

DynaFuse: Dynamic Fusion for Resource Efficient Multi-Modal Machine Learning Inference (2023)

IEEE Embedded Systems Letters

Alikhani Hamidreza, Kanduri Anil, Liljeberg Pasi, Rahmani Amir M., Dutt Nikil

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Edge-Centric Optimization of Multi-modal ML-Driven eHealth Applications (2023)

Kanduri Anil, Shahhosseini Sina, Naeini Emad Kasaeyan, Alikhani Hamidreza, Liljeberg Pasi, Dutt Nikil, Rahmani Amir M.

(Vertaisarvioitu artikkeli kokoomateoksessa (A3))

Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks (2022)

International Symposium on Quality Electronic Design, International symposium on quality electronic design proceedings

Shahhosseini Sina, Hu Tianyi, Seo Dongjoo, Kanduri Anil, Donyanavard Bryan, Rahmani Amir M., Dutt Nikil

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems (2022)

Design, Automation and Test in Europe Conference and Exhibition, Proceedings : Design, Automation, and Test in Europe Conference and Exhibition

Naeini Emad Kasaeyan, Shahhosseini Sina, Kanduri Anil, Liljeberg Pasi, Rahmani Amir M., Dutt Nikil

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Concurrent Application Bias Scheduling for Energy Efficiency of Heterogeneous Multi-Core Platforms (2022)

IEEE Transactions on Computers

Shamsa Elham, Kanduri Anil, Liljeberg Pasi, Rahmani Amir M.

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Ota yhteyttä

Julkaisut

Järjestä:

Adaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms (2024)

Work-in-Progress: Context and Noise Aware Resilience for Autonomous Driving Applications (2024)

SEAL: Sensing Efficient Active Learning on Wearables through Context-awareness (2024)

Adaptive approximate computing in edge AI and IoT applications: A review (2024)

EA2: Energy Efficient Adaptive Active Learning for Smart Wearables (2024)

DynaFuse: Dynamic Fusion for Resource Efficient Multi-Modal Machine Learning Inference (2023)

Edge-Centric Optimization of Multi-modal ML-Driven eHealth Applications (2023)

Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks (2022)

AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems (2022)

Concurrent Application Bias Scheduling for Energy Efficiency of Heterogeneous Multi-Core Platforms (2022)