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DERNIERS DÉPÔTS - LATEST DOCUMENTS
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Abbass Madi, Oana Stan, Aurélien Mayoue, Arnaud Grivet Sébert, Cedric Gouy-Pailler, et al.. A Secure Federated Learning framework using Homomorphic Encryption and Verifiable Computing. RDAAPS 2021 - Reconciling Data Analytics, Automation, Privacy, and Security: A Big Data Challenge, May 2021, Hamilton, Canada. ⟨10.1109/RDAAPS48126.2021.9452005⟩. ⟨cea-04558737⟩
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Oana Stan, Renaud Sirdey, Cedric Gouy-Pailler, Pierre Blanchart, Amira Benhamida, et al.. Privacy-preserving tax calculations in smart cities by means of Inner-Product Functional Encryption. CSNet 2018 - 2nd Cyber Security in Networking Conference, IEEE, Oct 2018, Paris, France. pp.8602714, ⟨10.1109/CSNET.2018.8602714⟩. ⟨cea-04555692⟩
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Olivier Faynot, Sylvain Barraud, Theophile Dubreuil, Elisa Vianello, Emmanuel Oilier, et al.. Disruptive approaches towards Energy Efficient VLSI Technologies. VLSI-TSA/VLSI-DAT 2023 - IEEE International VLSI Symposium on Technology, Systems and Applications, Apr 2023, HsinChu, Taiwan. pp.1-2, ⟨10.1109/VLSI-TSA/VLSI-DAT57221.2023.10134262⟩. ⟨cea-04553118⟩
Pour toute question : hal@cea.fr
Nombre de textes intégraux
333
Nombre de notices sans document
317
Indicateur d'Open Access
58 %
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Continual learning
Deep learning
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Reconfigurable hardware
Chiplet
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Machine Learning
Random access storage
Microarchitecture
RRAM
Neuromorphic computing
Cables
Time domain reflectometry
Hardware
Spiking neural networks
Ho-momorphic encryptions
Clocks
Approximate computing
Makespan
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Reflection
Approximation algorithm
Federated Learning
Spiking neural network
Artificial synapses
Computer hardware
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Fault detection
Compiler
Machine learning
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8T SRAM cell
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