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09/15/2023
A Precision-Scalable RISC-V DNN Processor with On-Device Learning Capability at the Extreme Edge
Extreme edge platforms, such as in-vehicle smart devices, require effici...
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08/25/2023
DAG-ACFL: Asynchronous Clustered Federated Learning based on DAG-DLT
Federated learning (FL) aims to collaboratively train a global model whi...
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02/03/2023
PDPU: An Open-Source Posit Dot-Product Unit for Deep Learning Applications
Posit has been a promising alternative to the IEEE-754 floating point fo...
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09/26/2022
An Energy Optimized Specializing DAG Federated Learning based on Event Triggered Communication
Specializing Directed Acyclic Graph Federated Learning(SDAGFL) is a new ...
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04/21/2022
An Information-theoretical Secured Byzantine-fault Tolerance Consensus in Quantum Key Distribution Network
Quantum key distribution (QKD) networks is expected to provide informati...
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06/21/2021
Knowledge Distillation via Instance-level Sequence Learning
Recently, distillation approaches are suggested to extract general knowl...
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03/12/2021
Auction Based Clustered Federated Learning in Mobile Edge Computing System
In recent years, mobile clients' computing ability and storage capacity ...
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04/03/2020
Penalized composite likelihood for colored graphical Gaussian models
This paper proposes a penalized composite likelihood method for model se...
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04/02/2020
Bayesian model selection approach for colored graphical Gaussian models
We consider a class of colored graphical Gaussian models obtained by pla...
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03/31/2020
Topological optimization of hybrid quantum key distribution networks
With the rapid development of quantum key distribution (QKD) technology,...
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12/13/2019
Multi-level Similarity Learning for Low-Shot Recognition
Low-shot learning indicates the ability to recognize unseen objects base...
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10/10/2019
High-speed Privacy Amplification Scheme using GMP in Quantum Key Distribution
Privacy amplification (PA) is the art of distilling a highly secret key ...
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09/27/2019
Novel Reconciliation Protocol Based on Spinal Code for Continuous-variable Quantum Key Distribution
Reconciliation is a crucial procedure in post-processing of continuous v...
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09/05/2019
Analytical Model and Topology Evaluation of Quantum Secure Communication Network
Due to the intrinsic point-to-point feature of quantum key distribution ...
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07/23/2019
Few-shot Learning for Domain-specfic Fine-grained Image Classfication
Learning to recognize novel visual categories from a few examples is a c...
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04/24/2019