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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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FEDERATED LEARNING FOR SECURE AND PRIVACY-PRESERVING ARTIFICIAL INTELLIGENCE IN DISTRIBUTED COMPUTING ENVIRONMENTS
Arman Qureshi, Sophia Martinez and Ethan Reynolds
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FEDERATED LEARNING FOR SECURE SMART HEALTHCARE: A PRIVACY-PRESERVING ARTIFICIAL INTELLIGENCE FRAMEWORK
Aarav Mehta, Sophia Rahman and Daniel Kim
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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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PRIVACY-AWARE FEDERATED GRAPH NEURAL NETWORKS FOR INTELLIGENT SMART CITY APPLICATIONS
Nathan A. Collins, Aisha P. Verma and Carlos D. Moreno
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