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6 days ago · Machine learning models interpret such sensor data, enabling accurate predictions and informed decisions. However, the sheer volume of data from billions of ...
7 days ago · Federated Learning (FL) is an emerging privacy-preserving distributed computing paradigm, enabling numerous clients to collaboratively train machine ...
6 days ago · List of computer science publications by Ruidong Li.
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6 days ago · Welcome to the official website of Fuji Technology Press. We are academic journal publisher and have been promoting Open Access for Researchers since 2007.
7 days ago · ... preserving online cross-modal hashing ... Current serverless computing providers use a coupled resource allocation ... edge local differential privacy (edge-LDP).
4 days ago · In this paper, we propose FedRD: a novel privacy-preserving edge-cloud and Federated learning-based framework for intelligent hazardous Road Damage detection ...
4 days ago · Federated reinforcement learning (FL) offers significant benefits for enhancing Quality of Service (QoS) in mobile networks.
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IEEE - PYTHON PROJECTS - LIST – 2023 - DATA SCIENCE - Studocu
www.studocu.com › document › python-...
4 days ago · Joint Resource Allocation and Trajectory Optimization for Multi-UAV-. Assisted Multi-Access Mobile Edge Computing ML/DS 2021 ... Privacy Preserving Location Data ...
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5 days ago · This advancements of built-in sensing services are sleek mobile devices enables crowdsourcing is sensed data, this lives known while movable crowdsensing (MCS).
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