Valentino Peluso

37 papers A 5B 2C 9Journal 9Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Refined Two-Sided Learning Rate Tuning for Robust Evaluation in Federated Learning. IEEE Trans. Artif. Intell. Erich Malan, Valentino Peluso, Andrea Calimera, Enrico Macii
2025	—	`conf`	Adaptive Client Participation in Budget-Constrained Federated Learning with Extreme Label Skew. NewCAS Erich Malan, Valentino Peluso, Andrea Calimera, Enrico Macii
2025	B	`conf`	Gradient-Aware Participation for Energy Reduction in Federated Learning with Extreme Label Skew. IJCNN Erich Malan, Valentino Peluso, Andrea Calimera, Enrico Macii
2025	B	`conf`	Privacy-Preserving Federated Learning for Household Characteristic Identification. COMPSAC Erich Malan, Claudia De Vizia, Marco Castangia, Valentino Peluso, Andrea Calimera, Enrico Macii
2024	J	`jnl`	Automatic Layer Freezing for Communication Efficiency in Cross-Device Federated Learning. IEEE Internet Things J. Erich Malan, Valentino Peluso, Andrea Calimera, Enrico Macii, Paolo Montuschi
2024	C	`conf`	Private Tensor Freezing for an Efficient Federated Learning with Homomorphic Encryption. ICCD Valentino Peluso, Erich Malan, Andrea Calimera, Enrico Macii
2023	J	`jnl`	Communication-Efficient Federated Learning With Gradual Layer Freezing. IEEE Embed. Syst. Lett. Erich Malan, Valentino Peluso, Andrea Calimera, Enrico Macii
2023	—	`conf`	Concurrent Pipeline Stages Optimization for Embedded Keyword Spotting. AIIoT Giacomo Zema, Valentino Peluso, Andrea Calimera, Enrico Macii
2023	A	`conf`	Enabling DVFS Side-Channel Attacks for Neural Network Fingerprinting in Edge Inference Services. ISLPED Erich Malan, Valentino Peluso, Andrea Calimera, Enrico Macii
2022	J	`jnl`	Energy-Quality Scalable Monocular Depth Estimation on Low-Power CPUs. IEEE Internet Things J. Antonio Cipolletta, Valentino Peluso, Andrea Calimera, Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia
2022	J	`jnl`	Monocular Depth Perception on Microcontrollers for Edge Applications. IEEE Trans. Circuits Syst. Video Technol. Valentino Peluso, Antonio Cipolletta, Andrea Calimera, Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia
2021	C	`conf`	AdapTTA: Adaptive Test-Time Augmentation for Reliable Embedded ConvNets. VLSI-SoC Luca Mocerino, Roberto Giorgio Rizzo, Valentino Peluso, Andrea Calimera, Enrico Macii
2021	J	`jnl`	Adaptive Test-Time Augmentation for Low-Power CPU. CoRR Luca Mocerino, Roberto Giorgio Rizzo, Valentino Peluso, Andrea Calimera, Enrico Macii
2021	—	`conf`	On the Efficiency of AdapTTA: An Adaptive Test-Time Augmentation Strategy for Reliable Embedded ConvNets. VLSI-SoC (Selected Papers) Luca Mocerino, Roberto Giorgio Rizzo, Valentino Peluso, Andrea Calimera, Enrico Macii
2021	J	`jnl`	TVFS: Topology Voltage Frequency Scaling for Reliable Embedded ConvNets. IEEE Trans. Circuits Syst. II Express Briefs Roberto Giorgio Rizzo, Valentino Peluso, Andrea Calimera
2020	—	`conf`	EAST: Encoding-Aware Sparse Training for Deep Memory Compression of ConvNets. AICAS Matteo Grimaldi, Valentino Peluso, Andrea Calimera
2020	—	`conf`	Enabling monocular depth perception at the very edge. CVPR Workshops Valentino Peluso, Antonio Cipolletta, Andrea Calimera, Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia
2020	C	`conf`	Optimization Tools for ConvNets on the Edge. VLSI-SOC Valentino Peluso, Enrico Macii, Andrea Calimera
2019	C	`conf`	Arbitrary-Precision Convolutional Neural Networks on Low-Power IoT Processors. VLSI-SoC Valentino Peluso, Matteo Grimaldi, Andrea Calimera
2019	J	`jnl`	EAST: Encoding-Aware Sparse Training for Deep Memory Compression of ConvNets. CoRR Matteo Grimaldi, Valentino Peluso, Andrea Calimera
2019	A	`conf`	Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms. DATE Valentino Peluso, Antonio Cipolletta, Andrea Calimera, Matteo Poggi, Fabio Tosi, Stefano Mattoccia
2019	—	`conf`	Inference on the Edge: Performance Analysis of an Image Classification Task Using Off-The-Shelf CPUs and Open-Source ConvNets. SNAMS Valentino Peluso, Roberto Giorgio Rizzo, Antonio Cipolletta, Andrea Calimera
2019	—	`conf`	Integer ConvNets on Embedded CPUs: Tools and Performance Assessment on the Cortex-A Cores. ICECS Valentino Peluso, Antonio Cipolletta, Francesco Vaiana, Andrea Calimera
2019	J	`jnl`	Optimality Assessment of Memory-Bounded ConvNets Deployed on Resource-Constrained RISC Cores. IEEE Access Matteo Grimaldi, Valentino Peluso, Andrea Calimera
2018	A	`conf`	All-digital embedded meters for on-line power estimation. DATE Daniele Jahier Pagliari, Valentino Peluso, Yukai Chen, Andrea Calimera, Enrico Macii, Massimo Poncino
2018	C	`conf`	Design-Space Exploration of Pareto-Optimal Architectures for Deep Learning with DVFS. ISCAS Giulia Santoro, Mario R. Casu, Valentino Peluso, Andrea Calimera, Massimo Alioto
2018	—	`conf`	Energy-Accuracy Scalable Deep Convolutional Neural Networks: A Pareto Analysis. VLSI-SoC (Selected Papers) Valentino Peluso, Andrea Calimera
2018	C	`conf`	Energy-Driven Precision Scaling for Fixed-Point ConvNets. VLSI-SoC Valentino Peluso, Andrea Calimera
2018	A	`conf`	Energy-performance design exploration of a low-power microprogrammed deep-learning accelerator. DATE Giulia Santoro, Mario R. Casu, Valentino Peluso, Andrea Calimera, Massimo Alioto
2018	A	`conf`	Scalable-effort ConvNets for multilevel classification. ICCAD Valentino Peluso, Andrea Calimera
2018	C	`conf`	Weak-MAC: Arithmetic Relaxation for Dynamic Energy-Accuracy Scaling in ConvNets. ISCAS Valentino Peluso, Andrea Calimera
2017	C	`conf`	Early bird sampling: A short-paths free error detection-correction strategy for data-driven VOS. VLSI-SoC Roberto Giorgio Rizzo, Valentino Peluso, Andrea Calimera, Jun Zhou, Xin Liu
2017	—	`conf`	On the Efficiency of Early Bird Sampling (EBS) an Error Detection-Correction Scheme for Data-Driven Voltage Over-Scaling. VLSI-SoC (Selected Papers) Roberto Giorgio Rizzo, Valentino Peluso, Andrea Calimera, Jun Zhou
2016	—	`conf`	Beyond Ideal DVFS Through Ultra-Fine Grain Vdd-Hopping. VLSI-SoC (Selected Papers) Valentino Peluso, Roberto Giorgio Rizzo, Andrea Calimera, Enrico Macii, Massimo Alioto
2016	C	`conf`	Ultra-Fine Grain Vdd-Hopping for energy-efficient Multi-Processor SoCs. VLSI-SoC Valentino Peluso, Andrea Calimera, Enrico Macii, Massimo Alioto
2015	—	`conf`	Object based modelling of hybrid electrical vehicle and power management control. RTSI Alberto Bolzoni, Alessio La Bella, Davide Moschetta, Giulia Musacci, Giambattista Gruosso, Giancarlo Storti Gajani, Marco Aimo Boot, Luca Bellini, Alessio Canepa, Davide Cardella, Valentino Peluso, Paolo Guglielmi
1998	—	`conf`	Analysis of the trade-off between bandwidth, resolution, and power in ΔΣ analog to digital converters. ICECS Augusto Manuel Marques, Valentino Peluso, Michiel Steyaert, Willy M. C. Sansen