AVID
发表于 2025-3-23 11:24:59
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abduction
发表于 2025-3-23 14:32:03
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Anticlimax
发表于 2025-3-23 18:38:27
https://doi.org/10.1007/978-3-030-25482-7to optimize wireless FL performance metrics (i.e., FL training loss, convergence time, energy efficiency). In particular, we first analyze how wireless factors (i.e., transmit power, spectrum interference, packet error rates) affect the FL performance. Then, using the FL convergence analytical resul
HIKE
发表于 2025-3-23 22:30:28
Biologische Informationsverarbeitung,AVs). One key challenge in developing CAVs is the design of an autonomous controller that can accurately execute near real-time control decisions, such as a quick acceleration when merging to a highway and frequent speed changes in a stop-and-go traffic. However, the use of conventional feedback con
headway
发表于 2025-3-24 04:26:21
Biologische Informationsverarbeitung,mputing (MEC)-enabled balloon network. In the considered network, each user needs to process a computational task in each time instant, where high-altitude balloons (HABs), acting as flying wireless base stations, can use their powerful computational abilities to process the tasks offloaded from the
情感
发表于 2025-3-24 09:05:35
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Accrue
发表于 2025-3-24 14:11:59
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HAWK
发表于 2025-3-24 18:05:21
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SLING
发表于 2025-3-24 22:16:11
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hermetic
发表于 2025-3-25 02:04:36
Fundamentals and Preliminaries of Federated Learning,en, we introduce four important performance metrics to quantify the FL performance over wireless networks and analyze how wireless factors affect these metrics. Finally, we present the research directions and industry interest of designing communication efficient FL over wireless networks.