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FEDERATED LEARNING FOR PRIVACY-PRESERVING INTELLIGENT SYSTEMS: A COMPREHENSIVE STUDY OF ARCHITECTURES, APPLICATIONS, AND CHALLENGES
Liyana K. Rahman, Ethan J. Morales and Vihaan P. Desai
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EDGE INTELLIGENCE FOR SMART CITIES: ENHANCING REAL-TIME DATA PROCESSING THROUGH ARTIFICIAL INTELLIGENCE AND EDGE COMPUTING
Sophia M. Bennett, Ibrahim K. Ansari and Lucas H. Nguyen
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TINY MACHINE LEARNING (TINYML) FOR INTELLIGENT INTERNET OF THINGS DEVICES: ARCHITECTURES, APPLICATIONS, CHALLENGES, AND FUTURE PERSPECTIVES
Noah E. Sullivan, Sana H. Mahmood and Yuki R. Matsuda
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ADAPTIVE EDGE INTELLIGENCE FOR SMART CITIES: A MACHINE LEARNING FRAMEWORK FOR REAL-TIME URBAN DATA PROCESSING
Ethan Marshall, Sophia Delgado and Arjun Mehta
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FEDERATED REINFORCEMENT LEARNING FOR INTELLIGENT RESOURCE ALLOCATION IN NEXT-GENERATION WIRELESS NETWORKS
Grace Sullivan, Neha Kapoor and Jacob Morgan
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ENERGY-EFFICIENT DEEP REINFORCEMENT LEARNING FOR INTELLIGENT TASK SCHEDULING IN EDGE COMPUTING ENVIRONMENTS
Sophia M. Carter, Rohan V. Iyer and Emilio J. Navarro
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