Aug 15, 2022 · To address those challenges, in this paper, we propose a novel multi-bit over-the-air computation (M-AirComp) approach for spectrum-efficient ...
To address those challenges, in this paper, we propose a novel multi-bit over-the-air computation (M-AirComp) approach for spectrum-efficient aggregation of ...
Energy and Spectrum Efficient Federated Learning via High ...
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Feb 13, 2024 · To address those challenges, in this paper, we propose a novel multi-bit over-the-air computation (M-AirComp) approach for spectrum-efficient ...
Feb 13, 2024 · To address those challenges, in this paper, we propose a novel multi-bit over-the-air computation (M-AirComp) approach for spectrum-efficient ...
Aug 15, 2022 · To address those challenges, in this paper, we propose a novel multi-bit over-the-air computation (M-AirComp) approach for spectrum-efficient ...
Aug 15, 2022 · As one of the advanced wireless techniques, over-the-air computation (AirComp) enables all users to simultaneously transmit the local gradients ...
Energy and Spectrum Efficient Federated Learning via High-Precision Over-the-Air Computation ... energy consumption (i. e., iterative local computing + multi- ...
This paper develops flexible weight quantization schemes to facilitate on-device local training over heterogeneous mobile devices and forms the energy ...
Mar 1, 2020 · Energy and Spectrum Efficient Federated Learning via High-Precision Over-the-Air Computation. Federated learning (FL) enables mobile devices ...
This stimulates a nascent field termed as federated learning for training a machine learning model on computation, storage, energy and bandwidth limited mobile ...
Missing: Spectrum Precision