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# 2026
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- W. Hu
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*'Exploiting compression techniques for efficient edge AI'*, Ph.D. Thesis, University of Glasgow. [[Thesis](https://theses.gla.ac.uk/85864/)]
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- R. Saha, J. Haris, N. Bohm Agostini, D. Kaeli, J. Cano
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*'PoTAcc: A Pipeline for End-to-End Acceleration of Power-of-Two Quantized DNNs'*, IEEE Transactions on Circuits and Systems for Articicial Intelligence (**TCASAI**), April 2026.
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- L. D'Agata, C. Agulló-Domingo, O. Vera-López, K. Shivdikar, A. W. B. Yudha, F. Yaman, D. Kaeli, J. L. Abellán, I. Colbert, J. Cano
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*'GPU Acceleration of Sparse Fully Homomorphic Encrypted DNNs'*, 6th Workshop on Machine Learning and Systems (**EuroMLSys**) co-located with **EuroSys** '26, Edinburgh, United Kingdom, April 2026. [[Paper]](https://arxiv.org/abs/2604.11659)
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- V. Sharma, J. Haris, J. Cano
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*'LLM-Driven Design Space Exploration of FPGA-based Accelerators'*, Workshop on Intelligent System Design (**InSyDe**), co-located with **EuroSys** '26, Edinburgh, United Kingdom, April 2026.
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- A. Pagani, J. Cano, H.-G. Stratigopoulos et al.
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*'Multi-Partner Project: dAIEDGE - A Network of Excellence for Distributed, Trustworthy, Efficient and Scalable AI at the Edge'*, to appear in 2026 Design, Automation & Test in Europe Conference & Exhibition (**DATE**), Verona, Italy, April 2026.
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*'Multi-Partner Project: dAIEDGE - A Network of Excellence for Distributed, Trustworthy, Efficient and Scalable AI at the Edge'*, 2026 Design, Automation & Test in Europe Conference & Exhibition (**DATE**), Verona, Italy, April 2026.[[Paper]](https://hal.science/hal-05464162/)
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- E. Cohavi, N. Bohm Agostini, J. Haris, A. Tumeo, D. Kaeli, J. Cano
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*'Defeat the Heap: Zero-Copy Data Movement in AXI4MLIR'*, to appear in 7th Compilers for Machine Learning Workshop (**C4ML**) co-located with **CGO**, Sydney, Australia, Jan-Feb 2026
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*'Defeat the Heap: Zero-Copy Data Movement in AXI4MLIR'*, 7th Compilers for Machine Learning Workshop (**C4ML**) co-located with **CGO**, Sydney, Australia, Jan-Feb 2026
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# 2025
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<!-- - O. V. Babalola, J. Cano, S. Deepaisarn, N. B. Truong
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*'FedRand: A Federated Random Forest Learning Technique for Anomaly Detection in IoT Networks'*, 24th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (**TrustCom**), Guiyang, China, November 2025. -->
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-J. Haris
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*'Hardware-software co-design of FPGA-based neural network accelerators for edge inference'*, Ph.D. Thesis, University of Glasgow. [[Thesis](https://theses.gla.ac.uk/85185/)]
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- A. Navarro, J. Cano, J. L. Abellán, M. Acacio
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*'QuFi: Adaptive Tiled Gustavson Output Reuse for Edge Sparse DNN Accelerators'*, 43rd IEEE International Conference on Computer Design (**ICCD**), Dallas, USA, November 2025.
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