Heterogeneous Privacy Level-Based Client Selection for Hybrid Federated and Centralized Learning in Mobile Edge Computing von Solat, Faranaksadat, Patni, Sakshi, Lim, Sunhwan, Lee, Joohyung

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DRL-Enabled Hierarchical Federated Learning Optimization for Data Heterogeneity Management in Multi-Access Edge Computing von Cho, Suhyun, Lim, Sunhwan, Lee, Joohyung

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Deep Representation Learning for Multimodal Emotion Recognition Using Physiological Signals von Zubair, Muhammad, Woo, Sungpil, Lim, Sunhwan, Yoon, Changwoo

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Dynamic Inference Approach Based on Rules Engine in Intelligent Edge Computing for Building Environment Control von Jin, Wenquan, Xu, Rongxu, Lim, Sunhwan, Park, Dong-Hwan, Park, Chanwon, Kim, Dohyeun

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Deep-Reinforcement-Learning-Based IoT Sensor Data Cleaning Framework for Enhanced Data Analytics von Mohammed, Alaelddin F Y, Sultan, Salman Md, Lee, Joohyung, Lim, Sunhwan

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Trust Management for Artificial Intelligence: A Standardization Perspective von Um, Tai-Won, Kim, Jinsul, Lim, Sunhwan, Lee, Gyu Myoung

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Adaptive DFL‐based straggler mitigation mechanism for synchronous ring topology in digital twin networks von Waqas Khan, Qazi, Park, Chan‐Won, Ahmad, Rashid, Rizwan, Atif, Khan, Anam Nawaz, Lim, Sunhwan, Kim, Do Hyeun

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Deep Representation Learning With Sample Generation and Augmented Attention Module for Imbalanced ECG Classification von Zubair, Muhammad, Woo, Sungpil, Lim, Sunhwan, Kim, Daeyoung

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A decentralized federated learning based interoperable and heterogeneity aware predictive optimization method for energy and comfort in smart homes environment von Xu, Rongxu, Khan, Salabat, Jin, Wenquan, Khan, Anam Nawaz, Khan, Qazi Waqas, Lim, Sunhwan, Kim, Do Hyuen

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Decision-making of IoT device operation based on intelligent-task offloading for improving environmental optimization von Jin, Wenquan, Lim, Sunhwan, Woo, Sungpil, Park, Chanwon, Kim, Dohyeun

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Cooperative Swarm Learning for Distributed Cyclic Edge Intelligent Computing von Xu, Rongxu, Jin, Wenquan, Khan, Anam Nawaz, Lim, Sunhwan, Kim, Do-Hyeun

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A precision-centric approach to overcoming data imbalance and non-IIDness in federated learning von Khan, Anam Nawaz, Rizwan, Atif, Ahmad, Rashid, Khan, Qazi Waqas, Lim, Sunhwan, Kim, Do Hyeun

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Transparent Access to Heterogeneous IoT Based on Virtual Resources von Jin, Wenquan, Lim, Sunhwan, Suh, Young-Ho, Park, Chanwon, Kim, Dohyeun

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Hetero-FedIoT: A Rule-Based Interworking Architecture for Heterogeneous Federated IoT Networks von Khan, Anam Nawaz, Rizwan, Atif, Ahmad, Rashid, Jin, Wenquan, Khan, Qazi Waqas, Lim, Sunhwan, Kim, DoHyeun

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Integrated Service Composition Approach Based on Transparent Access to Heterogeneous IoT Networks Using Multiple Service Providers von Jin, Wenquan, Xu, Rongxu, Lim, Sunhwan, Park, Dong-Hwan, Park, Chanwon, Kim, Dohyeun

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Learnable Path in Neural Controlled Differential Equations von Jhin, Sheo Yon, Jo, Minju, Kook, Seungji, Park, Noseong, Woo, Sungpil, Lim, Sunhwan

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Design of Open APIs for Personalized IPTV Service von Jihye Lyu, Shinjee Pyo, Jeongyeon Lim, Munchurl Kim, Sunhwan Lim, Sangki Kim

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Learnable Path in Neural Controlled Differential Equations von Jhin, Sheo Yon, Minju Jo, Seungji Kook, Park, Noseong, Woo, Sungpil, Lim, Sunhwan

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METHOD AND APPARATUS FOR GENERATING SPARSE DATA von MUHAMMAD ZUBAIR, SUNGPIL WOO, SUNHWAN LIM, CHAN WON PARK

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APPARATUS FOR TRAINING DEEP LEARNING MODEL von MUHAMMAD ZUBAIR, YOON CHANGWOO, SUNGPIL WOO, SUNHWAN LIM

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