| QUERA: Q-Learning RPL Routing Mechanism to Establish Energy Efficient and Reliable Communications in Mobile IoT Networks SR Lalani, B Safaei, AMH Monazzah, H Taghizadeh, J Henkel, A Ejlali IEEE Transactions on Green Communications and Networking, 2024 | | 2024 |
| LightFAt: Mitigating Control-Flow Explosion via Lightweight PMU-Based Control-Flow Attestation J Gonzalez-Gomez, H Nassar, L Bauer, J Henkel 2024 IEEE International Symposium on Hardware Oriented Security and Trust …, 2024 | | 2024 |
| MaliGNNoma: GNN-Based Malicious Circuit Classifier for Secure Cloud FPGAs L Alrahis, H Nassar, J Krautter, D Gnad, L Bauer, J Henkel, M Tahoori 2024 IEEE International Symposium on Hardware Oriented Security and Trust …, 2024 | | 2024 |
| Covert-Hammer: Coordinating Power-Hammering on Multi-tenant FPGAs via Covert Channels H Nassar, P Machauer, DRE Gnad, L Bauer, MB Tahoori, J Henkel Proceedings of the 2024 ACM/SIGDA International Symposium on Field …, 2024 | | 2024 |
| Multi-Agent Reinforcement Learning for Thermally-Restricted Performance Optimization on Manycores H Khdr, ME Batur, K Zhou, MB Sikal, J Henkel 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2024 | | 2024 |
| Energy-Aware Heterogeneous Federated Learning via Approximate Systolic DNN Accelerators K Pfeiffer, K Balaskas, K Siozios, J Henkel arXiv preprint arXiv:2402.18569, 2024 | | 2024 |
| A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends A Younesi, M Ansari, MA Fazli, A Ejlali, M Shafique, J Henkel arXiv preprint arXiv:2402.15490, 2024 | 1 | 2024 |
| Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices K Pfeiffer, R Khalili, J Henkel Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| TransAxx: Efficient Transformers with Approximate Computing D Danopoulos, G Zervakis, D Soudris, J Henkel arXiv preprint arXiv:2402.07545, 2024 | | 2024 |
| Supporting Dynamic Control-Flow Execution for Runtime Reconfigurable Processors H Nassar, R Youssef, L Bauer, J Henkel 2023 International Conference on Microelectronics (ICM), 184-189, 2023 | | 2023 |
| NPU-Accelerated Imitation Learning for Thermal Optimization of QoS-Constrained Heterogeneous Multi-Cores M Rapp, H Khdr, N Krohmer, J Henkel ACM Transactions on Design Automation of Electronic Systems 29 (1), 1-23, 2023 | 2 | 2023 |
| Hardware–Software Co-design for Ultra-Resource-Constrained Embedded Machine Learning Inference: A Printed Electronics Use Case G Zervakis, MB Tahoori, J Henkel Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing …, 2023 | | 2023 |
| Swift-CNN: Leveraging PCM Memory’s Fast Write Mode to Accelerate CNNs L Siddhu, H Nassar, L Bauer, C Hakert, N Hölscher, JJ Chen, J Henkel IEEE Embedded Systems Letters, 2023 | | 2023 |
| Effects of Runtime Reconfiguration on PUFs Implemented as FPGA-Based Accelerators H Nassar, L Bauer, J Henkel IEEE Embedded Systems Letters, 2023 | | 2023 |
| Differentiable Slimming for Memory-Efficient Transformers N Penkov, K Balaskas, M Rapp, J Henkel IEEE Embedded Systems Letters, 2023 | | 2023 |
| Special Session-Non-Volatile Memories: Challenges and Opportunities for Embedded System Architectures with Focus on Machine Learning Applications J Henkel, L Siddhu, L Bauer, J Teich, S Wildermann, M Tahoori, ... Proceedings of the International Conference on Compilers, Architecture, and …, 2023 | | 2023 |
| ANV-PUF: Machine-Learning-Resilient NVM-Based Arbiter PUF H Nassar, L Bauer, J Henkel ACM Transactions on Embedded Computing Systems 22 (5s), 1-23, 2023 | | 2023 |
| Federated learning for computationally constrained heterogeneous devices: A survey K Pfeiffer, M Rapp, R Khalili, J Henkel ACM Computing Surveys 55 (14s), 1-27, 2023 | 17 | 2023 |
| Machine Learning-based Thermally-Safe Cache Contention Mitigation in Clustered Manycores MB Sikal, H Khdr, M Rapp, J Henkel 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | | 2023 |
| Smart Detection of Obfuscated Thermal Covert Channel Attacks in Many-core Processors J González-Gómez, MB Sikal, H Khdr, L Bauer, J Henkel 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 1 | 2023 |
