| 2025 | COMPSAC | Privacy-Preserving Federated Learning for Household Characteristic Identification. | Erich Malan, Claudia De Vizia, Marco Castangia, Valentino Peluso, Andrea Calimera, Enrico Macii |
| 2025 | IJCNN | Gradient-Aware Participation for Energy Reduction in Federated Learning with Extreme Label Skew. | Erich Malan, Valentino Peluso, Andrea Calimera, Enrico Macii |
| 2024 | ICCD | Private Tensor Freezing for an Efficient Federated Learning with Homomorphic Encryption. | Valentino Peluso, Erich Malan, Andrea Calimera, Enrico Macii |
| 2023 | ISLPED | Enabling DVFS Side-Channel Attacks for Neural Network Fingerprinting in Edge Inference Services. | Erich Malan, Valentino Peluso, Andrea Calimera, Enrico Macii |
| 2020 | CVPR | Enabling monocular depth perception at the very edge. | Valentino Peluso, Antonio Cipolletta, Andrea Calimera, Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia |
| 2019 | DATE | Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms. | Valentino Peluso, Antonio Cipolletta, Andrea Calimera, Matteo Poggi, Fabio Tosi, Stefano Mattoccia |
| 2018 | DATE | All-digital embedded meters for on-line power estimation. | Daniele Jahier Pagliari, Valentino Peluso, Yukai Chen, Andrea Calimera, Enrico Macii, Massimo Poncino |
| 2018 | DATE | Energy-performance design exploration of a low-power microprogrammed deep-learning accelerator. | Giulia Santoro, Mario R. Casu, Valentino Peluso, Andrea Calimera, Massimo Alioto |
| 2018 | ICCAD | Scalable-effort ConvNets for multilevel classification. | Valentino Peluso, Andrea Calimera |
| 2018 | ISCAS | Weak-MAC: Arithmetic Relaxation for Dynamic Energy-Accuracy Scaling in ConvNets. | Valentino Peluso, Andrea Calimera |
| 2018 | ISCAS | Design-Space Exploration of Pareto-Optimal Architectures for Deep Learning with DVFS. | Giulia Santoro, Mario R. Casu, Valentino Peluso, Andrea Calimera, Massimo Alioto |