CALIMERA, ANDREA

CALIMERA, ANDREA  

Dipartimento di Automatica e Informatica  

018408  

Mostra records
Risultati 1 - 20 di 98 (tempo di esecuzione: 0.042 secondi).
Citazione Data di pubblicazione Autori File
Draft & Refine: Efficient Resource Management in Federated Learning under Pathological Labels Skew / Malan, Erich; Peluso, Valentino; Calimera, Andrea; Macii, Enrico. - (In corso di stampa). (Intervento presentato al convegno International Conference on Electronics Circuits and Systems (ICECS) 2024). In corso di stampa Malan, ErichPeluso, ValentinoCalimera, AndreaMacii, Enrico -
Private Tensor Freezing for an Efficient Federated Learning with Homomorphic Encryption / Peluso, Valentino; Malan, Erich; Calimera, Andrea; Macii, Enrico. - (In corso di stampa). (Intervento presentato al convegno International Conference on Computer Design (ICCD) 2024). In corso di stampa Peluso, ValentinoMalan, ErichCalimera, AndreaMacii, Enrico -
Concurrent Pipeline Stages Optimization for Embedded Keyword Spotting / Zema, Giacomo; Peluso, Valentino; Calimera, Andrea; Macii, Enrico. - (2023), pp. 0427-0433. (Intervento presentato al convegno World AI IoT Congress tenutosi a Seattle, WA (USA) nel 07-10 June 2023) [10.1109/AIIoT58121.2023.10174531]. 1-gen-2023 Zema, GiacomoPeluso, ValentinoCalimera, AndreaMacii, Enrico Concurrent_Pipeline_Stages_Optimization_for_Embedded_Keyword_Spotting.pdf
Enabling DVFS Side-Channel Attacks for Neural Network Fingerprinting in Edge Inference Services / Malan, Erich; Peluso, Valentino; Calimera, Andrea; Macii, Enrico. - (2023), pp. 1-6. (Intervento presentato al convegno International Symposium on Low Power Electronics and Design tenutosi a Vienna (AUT) nel 07-08 August 2023) [10.1109/ISLPED58423.2023.10244398]. 1-gen-2023 Malan, ErichPeluso, ValentinoCalimera, AndreaMacii, Enrico ISLPED2023_cameraReady.pdfEnabling_DVFS_Side-Channel_Attacks_for_Neural_Network_Fingerprinting_in_Edge_Inference_Services.pdf
Energy-efficient and Privacy-aware Social Distance Monitoring with Low-resolution Infrared Sensors and Adaptive Inference / Xie, C.; JAHIER PAGLIARI, Daniele; Calimera, A.. - (2022), pp. 181-184. (Intervento presentato al convegno 2022 17th Conference on Ph.D Research in Microelectronics and Electronics (PRIME) tenutosi a Villasimius, SU (Italy) nel 12-15 June 2022) [10.1109/PRIME55000.2022.9816801]. 1-gen-2022 Xie C.Jahier Pagliari DanieleCalimera A. Energy-efficient_and_Privacy-aware_Social_Distance_Monitoring_with_Low-resolution_Infrared_Sensors_and_Adaptive_Inference_arxiv.pdfEnergy-efficient_and_Privacy-aware_Social_Distance_Monitoring_with_Low-resolution_Infrared_Sensors_and_Adaptive_Inference.pdf
Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers / Daghero, F; Burrello, A; Xie, C; Benini, L; Calimera, A; Macii, E; Poncino, M; Jahier Pagliari, D. - STAMPA. - 661:(2022), pp. 25-47. (Intervento presentato al convegno 29th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration (VLSI-SoC 2021) tenutosi a Singapore nel October 4-8, 2021) [10.1007/978-3-031-16818-5_2]. 1-gen-2022 Daghero, FBurrello, AXie, CBenini, LCalimera, AMacii, EPoncino, MJahier Pagliari, D postprint.pdfvlsi-soc-chapter.pdf
Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs / Xie, Chen; Daghero, Francesco; Chen, Yukai; Castellano, Marco; Gandolfi, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele. - (2022), pp. 1332-1336. (Intervento presentato al convegno 2022 IEEE International Symposium on Circuits and Systems (ISCAS) tenutosi a Austin, TX (USA) nel 27 May 2022 - 01 June 2022) [10.1109/ISCAS48785.2022.9937837]. 1-gen-2022 Chen XieFrancesco DagheroYukai ChenAndrea CalimeraEnrico MaciiMassimo PoncinoDaniele Jahier Pagliari + Privacy-preserving_Social_Distance_Monitoring_arxiv.pdfPrivacy-preserving_Social_Distance_Monitoring_on_Microcontrollers_with_Low-Resolution_Infrared_Sensors_and_CNNs.pdf
SMART-IC: Smart Monitoring and Production Optimization for Zero-waste Semiconductor Manufacturing / Alamin, KHALED SIDAHMED SIDAHMED; Chen, Yukai; Gaiardelli, Sebastiano; Spellini, Stefano; Calimera, Andrea; Beghi, Alessandro; Susto, Antonio; Fummi, Franco; Macii, Enrico; Vinco, Sara. - (2022), pp. 1-6. (Intervento presentato al convegno IEEE Latin-American Test Symposium tenutosi a Montevideo (Uruguay) nel 5th - 8th September 2022) [10.1109/LATS57337.2022.9937011]. 1-gen-2022 Khaled Sidahmed Sidahmed AlaminYukai ChenAndrea CalimeraAlessandro BeghiFranco FummiEnrico MaciiSara Vinco + LATS2022_CR_version (1).pdfSMART-IC_Smart_Monitoring_and_Production_Optimization_for_Zero-waste_Semiconductor_Manufacturing.pdf
ACME: An energy-efficient approximate bus encoding for I2C / Xie, Chen; JAHIER PAGLIARI, Daniele; Calimera, Andrea; Macii, Enrico; Poncino, Massimo. - ELETTRONICO. - (2021), pp. 1-6. (Intervento presentato al convegno 2021 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED) tenutosi a Boston, MA, USA nel 26-28 July 2021) [10.1109/ISLPED52811.2021.9502495]. 1-gen-2021 Chen XieDaniele Jahier PagliariAndrea CalimeraEnrico MaciiMassimo Poncino ACME_an_Energy_efficinet_approximate_bus_encoding_for_I2C.pdfACME_An_Energy-Efficient_Approximate_Bus_Encoding_for_I2C.pdf
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers / Daghero, Francesco; Burrello, Alessio; Xie, Chen; Benini, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele. - ELETTRONICO. - (2021), pp. 1-6. (Intervento presentato al convegno 29th IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2021 tenutosi a Virtual Conference nel 2021) [10.1109/VLSI-SoC53125.2021.9606986]. 1-gen-2021 Daghero, FrancescoBurrello, AlessioXie, ChenBenini, LucaCalimera, AndreaMacii, EnricoPoncino, MassimoJahier Pagliari, Daniele Adaptive_Random_Forests_for_Energy-Efficient_Inference_on_Microcontrollers.pdfAdaptive_Random_Forests_for_Energy-Efficient_Inference_on_Microcontrollers-POSTPRINT.pdf.pdf
AdapTTA: Adaptive Test-Time Augmentation for Reliable Embedded ConvNets / Mocerino, Luca; Rizzo, Roberto G.; Peluso, Valentino; Calimera, Andrea; Macii, Enrico. - (2021), pp. 1-6. (Intervento presentato al convegno International Conference on Very Large Scale Integration (VLSI-SoC) nel 4-7 Oct. 2021) [10.1109/VLSI-SoC53125.2021.9606980]. 1-gen-2021 Mocerino, LucaRizzo, Roberto G.Peluso, ValentinoCalimera, AndreaMacii, Enrico Adaptive_Test_time_Augmentation____VLSI_SoC2021.pdfAdapTTA_Adaptive_Test-Time_Augmentation_for_Reliable_Embedded_ConvNets.pdf
Dataflow Restructuring for Active Memory Reduction in Deep Neural Networks / Cipolletta, A.; Calimera, A.. - (2021), pp. 114-119. (Intervento presentato al convegno 2021 Design, Automation and Test in Europe Conference and Exhibition, DATE 2021 nel 01-05 February 2021) [10.23919/DATE51398.2021.9473965]. 1-gen-2021 Cipolletta A.Calimera A. DATE21_final_submitted.pdfDataflow_Restructuring_for_Active_Memory_Reduction_in_Deep_Neural_Networks.pdf
On the Efficiency of Sparse-Tiled Tensor Graph Processing for Low Memory Usage / Cipolletta, A.; Calimera, A.. - ELETTRONICO. - (2021), pp. 643-648. (Intervento presentato al convegno 58th ACM/IEEE Design Automation Conference, DAC 2021 tenutosi a usa nel 2021) [10.1109/DAC18074.2021.9586154]. 1-gen-2021 Cipolletta A.Calimera A. DAC21_camera_ready.pdfOn_The_Efficiency_of_Sparse-Tiled_Tensor_Graph_Processing_For_Low_Memory_Usage.pdf
Ultra-compact binary neural networks for human activity recognition on RISC-V processors / Daghero, F.; Xie, C.; Jahier Pagliari, D.; Burrello, A.; Castellano, M.; Gandolfi, L.; Calimera, A.; Macii, E.; Poncino, M.. - ELETTRONICO. - (2021), pp. 3-11. (Intervento presentato al convegno 18th ACM International Conference on Computing Frontiers 2021, CF 2021 tenutosi a Virtual conference nel 2021) [10.1145/3457388.3458656]. 1-gen-2021 Daghero F.Xie C.Jahier Pagliari D.Burrello A.Calimera A.MacIi E.Poncino M. + BNN_CF-post-print.pdfDaghero et al. - 2021 - Ultra-Compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors.pdf
EAST: Encoding-Aware Sparse Training for Deep Memory Compression of ConvNets / Grimaldi, Matteo; Peluso, Valentino; Calimera, Andrea. - ELETTRONICO. - (2020), pp. 233-237. (Intervento presentato al convegno IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)) [10.1109/AICAS48895.2020.9073979]. 1-gen-2020 Grimaldi, MatteoPeluso, ValentinoCalimera, Andrea PID6298707.pdf09073979.pdf
Enabling monocular depth perception at the very edge / Peluso, V.; Cipolletta, A.; Calimera, A.; Poggi, M.; Tosi, F.; Aleotti, F.; Mattoccia, S.. - 2020:(2020), pp. 1581-1583. (Intervento presentato al convegno 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020 tenutosi a usa nel 2020) [10.1109/CVPRW50498.2020.00204]. 1-gen-2020 Peluso V.Cipolletta A.Calimera A.Aleotti F.Mattoccia S. + 09150972.pdfLPVCV_2020_postprint_iris.pdf
Optimization Tools for ConvNets on the Edge / Peluso, V.; Macii, E.; Calimera, A.. - ELETTRONICO. - (2020), pp. 204-205. (Intervento presentato al convegno 28th IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SOC 2020 tenutosi a Salt Lake City, UT, USA nel 2020) [10.1109/VLSI-SOC46417.2020.9344075]. 1-gen-2020 Peluso V.MacIi E.Calimera A. Optimization_Tools_for_ConvNets_on_the_Edge.pdf
TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural Networks / Mocerino, Luca; Calimera, Andrea. - ELETTRONICO. - (2020), pp. 261-265. (Intervento presentato al convegno IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)) [10.1109/AICAS48895.2020.9073982]. 1-gen-2020 Mocerino, LucaCalimera, Andrea 09073982.pdfaicas20.pdf
Arbitrary-Precision Convolutional Neural Networks on Low-Power IoT Processors / Peluso, V.; Grimaldi, M.; Calimera, A.. - 2019-:(2019), pp. 142-147. (Intervento presentato al convegno 27th IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2019 tenutosi a per nel 2019) [10.1109/VLSI-SoC.2019.8920341]. 1-gen-2019 Peluso V.Grimaldi M.Calimera A. 8920341.pdfmain.pdf
CoopNet: Cooperative convolutional neural network for low-power MCUs / Mocerino, L.; Calimera, A.. - (2019), pp. 414-417. (Intervento presentato al convegno 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019 tenutosi a ita nel 2019) [10.1109/ICECS46596.2019.8964993]. 1-gen-2019 Mocerino L.Calimera A. 08964993.pdfmain.pdf