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Federated Self-Supervised Learning of Multisensor Representations for Embedded Intelligence.

, , , и . IEEE Internet Things J., 8 (2): 1030-1040 (2021)

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Didem Özcelebi

 

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Self-* Properties in Smart Environments: Requirements and Performance Metrics., , и . Intelligent Environments (Workshops), том 18 из Ambient Intelligence and Smart Environments, стр. 194-205. IOS Press, (2014)Multi-sensor data augmentation for robust sensing., , , и . COINS, стр. 1-7. IEEE, (2020)Light pole localization in a smart city., , , и . ETFA, стр. 1-4. IEEE, (2014)Relevance in cyber-physical systems with humans in the loop., , , и . Concurr. Comput. Pract. Exp., (2017)Client intelligence for adaptive streaming solutions., и . Signal Process. Image Commun., 26 (7): 378-389 (2011)Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation., , , и . CoRR, (2024)FedCode: Communication-Efficient Federated Learning via Transferring Codebooks., , , и . CoRR, (2023)Understanding IoT Systems: A Life Cycle Approach., , и . ANT/SEIT, том 130 из Procedia Computer Science, стр. 1057-1062. Elsevier, (2018)An Interdisciplinary Approach to Designing Adaptive Lighting Environments., , , , , и . Intelligent Environments, стр. 17-24. IEEE Computer Society, (2011)Semantic Interoperability Architecture for Smart Spaces., , и . Int. J. Fuzzy Log. Intell. Syst., 18 (1): 50-57 (2018)