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Communication efficiency optimization of federated learning for computing and network convergence of 6G networks
Federated learning effectively addresses issues such as data privacy by collaborating across participating devices to train global models. However,...
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Federated learning on non-IID and long-tailed data via dual-decoupling
Federated learning (FL), a cutting-edge distributed machine learning training paradigm, aims to generate a global model by collaborating on the...
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Target parameter estimation for OTFS-integrated radar and communications based on sparse reconstruction preprocessing
Orthogonal time–frequency space (OTFS) is a new modulation technique proposed in recent years for high Doppler wireless scenes. To solve the...
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A novel trusted hardware-based scalable security framework for IoT edge devices
The Internet of Things (IoT) devices are pervasively deployed and embedded into our daily lives. Over several years, the massive assimilation of IoT...
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Optimal replication strategy for mitigating burst traffic in information-centric satellite networks: a focus on remote sensing image transmission
Information-centric satellite networks play a crucial role in remote sensing applications, particularly in the transmission of remote sensing images....
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Hierarchical non-dominated sort: analysis and improvement
Pareto dominance-based multiobjective evolutionary algorithms use non-dominated sorting to rank their solutions. In the last few decades, various...
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Architecture search of accurate and lightweight CNNs using genetic algorithm
Convolutional neural networks (CNNs) are popularly-used in various AI fields, yet the design of CNN architectures heavily depends on domain...
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Secure resource allocation against colluding eavesdrop** in a user-centric cell-free massive multiple-input multiple-output system
We investigate the resource allocation problem of a cell-free massive multiple-input multiple-output system under the condition of colluding...
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FaSRnet: a feature and semantics refinement network for human pose estimation
Due to factors such as motion blur, video out-of-focus, and occlusion, multi-frame human pose estimation is a challenging task. Exploiting temporal...
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An anti-collision algorithm for robotic search-and-rescue tasks in unknown dynamic environments
This paper deals with the search-and-rescue tasks of a mobile robot with multiple interesting targets in an unknown dynamic environment. The problem...
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Design and verification of an FPGA programmable logic element based on Sense-Switch pFLASH
This paper proposes a kind of programmable logic element (PLE) based on Sense-Switch pFLASH technology. By programming Sense-Switch pFLASH, all...
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Towards sustainable adversarial training with successive perturbation generation
Adversarial training with online-generated adversarial examples has achieved promising performance in defending adversarial attacks and improving...
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A new representation in 3D VLSI floorplan: 3D O-Tree
The size of the implemented circuit plays a vital role in maximizing the performance of the chip. Hence, researchers are looking to utilize the extra...
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A spaceborne advanced storage system for remote sensing microsatellites
With the development of satellite miniaturization and remote sensing, the establishment of microsatellite constellations is an inevitable trend. Due...
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Availability evaluation of controller area networks under the influence of intermittent connection faults
Controller area networks (CANs), as one of the widely used fieldbuses in the industry, have been extended to the automation field with strict...
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Novel design of a compact tunable dual band wireless power transfer (TDB-WPT) system for multiple WPT applications
In this study we present the design and realization of a tunable dual band wireless power transfer (TDB-WPT) coupled resonator system. The frequency...
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Securing multi-chain consensus against diverse miner behavior attacks in blockchain networks
As cross-chain technologies enable interactions among different blockchains (hereinafter “chains”), multi-chain consensus is becoming increasingly...
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Multi-exit self-distillation with appropriate teachers
Multi-exit architecture allows early-stop inference to reduce computational cost, which can be used in resource-constrained circumstances. Recent...