Deep Q Network Based on a Fractional Political–Smart Flower Optimization Algorithm for Real-World Object Recognition in Federated Learning

Deep Q Network Based on a Fractional Political–Smart Flower Optimization Algorithm for Real-World Object Recognition in Federated Learning

An imperative application of artificial intelligence (AI) techniques is visual object detection, and the methods of visual object detection available currently need highly equipped datasets preserved in a centralized unit. This usually results in high transmission and large storage overheads. Federa...

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Bibliographic Details
Main Authors: Pir Dino Soomro, Xianping Fu, Muhammad Aslam, Dani Elias Mfungo, Arsalan Ali
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Applied Sciences
Subjects:
Federated Learning
Political Optimizer
Smart Flower Optimization
Fractional Calculus
Conditional Autoregressive Value
Regression Quantiles
Online Access:https://www.mdpi.com/2076-3417/13/24/13286

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