Articles with "computation communication" as a keyword



Computation–Communication Tradeoffs for Missing Multitagged Item Detection in RFID Networks

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Published in 2022 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2021.3079269

Abstract: Missing item event detection is one of the most important radio-frequency identification (RFID)-enabled functions. Yet it is largely unaddressed how to fast and reliably detect missing item event in multitagged RFID systems where multiple tags… read more here.

Keywords: computation communication; multitagged item; item; detection ... See more keywords
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Energy-Efficient Multiprocessor-Based Computation and Communication Resource Allocation in Two-Tier Federated Learning Networks

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Published in 2023 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2022.3153996

Abstract: In conventional federated learning (FL), multiple edge devices holding local data jointly train a machine learning model by communicating learning updates with a centralized aggregator without exchanging their data samples. Owing to the communication and… read more here.

Keywords: computation; communication; energy; resource allocation ... See more keywords

A 65 nm Wireless Image SoC Supporting On-Chip DNN Optimization and Real-Time Computation-Communication Trade-Off via Actor-Critical Neuro-Controller

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Published in 2022 at "IEEE Journal of Solid-State Circuits"

DOI: 10.1109/jssc.2022.3159473

Abstract: The widespread proliferation of smart sensors has led to hardware that enable edge intelligence (EI) with extreme energy efficiencies. This decreases the volume of data that is transmitted to the cloud, thus reducing: 1) processing… read more here.

Keywords: computation; communication; real time; chip ... See more keywords

Computation-and-Communication Efficient Coordinated Multicast Beamforming in Massive MIMO Networks

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Published in 2024 at "IEEE Transactions on Communications"

DOI: 10.1109/tcomm.2025.3541031

Abstract: The main challenges in designing downlink coordinated multicast beamforming in massive multiple-input multiple output (MIMO) cellular networks are the complex computational solutions and significant fronthaul overhead for centralized coordination. This paper proposes a coordinated multicast… read more here.

Keywords: multicast beamforming; massive mimo; beamforming massive; computation communication ... See more keywords

Joint In-Orbit Computation and Communication for Minimizing Download Time From LEO Satellites

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Published in 2024 at "IEEE Transactions on Mobile Computing"

DOI: 10.1109/tmc.2023.3282243

Abstract: Downloading a large amount of data from a low Earth orbit satellite to a ground station can be challenging due to the limited contact window, dynamic channel quality, solar energy supply, and thermal management without… read more here.

Keywords: download time; problem; energy; computation communication ... See more keywords

FLAS: Computation and Communication Efficient Federated Learning via Adaptive Sampling

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Published in 2022 at "IEEE Transactions on Network Science and Engineering"

DOI: 10.1109/tnse.2021.3056655

Abstract: Federated learning enables collaborative deep learning over multiple clients without sharing their local data, and it becomes increasingly popular due to the good balance between data privacy and model usability. Generally, it faces the heavy… read more here.

Keywords: communication efficient; communication; federated learning; efficient federated ... See more keywords

Novel Computation and Communication Resources Allocation Using Relay Communications in UAV-Mounted Cloudlet Systems

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Published in 2021 at "IEEE Transactions on Network Science and Engineering"

DOI: 10.1109/tnse.2021.3105455

Abstract: At present, the Internet of things (IoT) is widely employed in various systems. The operation of these systems requires intelligent data processing, which needs to be performed rapidly at the network edge. Hence, studies on… read more here.

Keywords: computation communication; novel computation; communication; relay ... See more keywords

Communicational and Computational Efficient Federated Domain Adaptation

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Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"

DOI: 10.1109/tpds.2022.3167457

Abstract: The emerging paradigm of Federated Learning enables mobile users to collaboratively train a model without disclosing their privacy-sensitive data. Nevertheless, data collected from different mobile users may not be independent and identically distributed. Thus directly… read more here.

Keywords: domain adaptation; adaptation; federated domain; communicational computational ... See more keywords

Decentralized RLS With Data-Adaptive Censoring for Regressions Over Large-Scale Networks

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Published in 2018 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2018.2795594

Abstract: The deluge of networked data motivates the development of algorithms for computation- and communication-efficient information processing. In this context, three data-adaptive censoring strategies are introduced to considerably reduce the computation and communication overhead of decentralized… read more here.

Keywords: decentralized rls; data adaptive; adaptive censoring; computation communication ... See more keywords