Search Results - "Fed-erated Learning"

Supply Chain 4.0: Driving Operational Efficiency, Resilience, and Cybersecurity Using Advanced Technologies

Authors: Sowan, Bilal I. Zighan, Saad Majed Altarawneh, Ahmad

Source: 2025 1st International Conference on Computational Intelligence Approaches and Applications (ICCIAA). :1-8

Subject Terms: Cybersecurity, Advanced Technology, Trusted Execution Environments, Cyber Security, Internet Of Things, Block-chain, Fed-erated Learning, Industry 4.0, Interoperability, Network Protocols, Complex Networks, Malware, Network Security, Supply Chains, Interconnected Network, Blockchain, Artificial Intelligence, Supply Chain, Digital Technologies, Global Supply Chain, Operational Efficiencies, Supply Chain Systems, Feed-erated Learning

File Description: application/pdf

Access URL: https://hdl.handle.net/10576/67443

Multimodal Transport Demand Forecasting via Federated Learning

Authors: Can Li Wei Liu

Source: IEEE Transactions on Intelligent Transportation Systems. 25:4009-4020

Subject Terms: Demand forecasting, Multimodal transport, Fine-grained graph, Fed- erated learning

Multimodal Transport Demand Forecasting via Federated Learning

Authors: Li, Can Liu, Wei

Index Terms: Multimodal transport, Demand forecasting, Fed- erated learning, Fine-grained graph, Article

URL: http://repository.hkust.edu.hk/ir/Record/1783.1-133654
https://doi.org/10.1109/TITS.2023.3325936
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=1524-9050&rft.volume=&rft.issue=&rft.date=2023&rft.spage=&rft.aulast=Li&rft.aufirst=&rft.atitle=Multimodal+Transport+Demand+Forecasting+via+Federated+Learning&rft.title=IEEE+TRANSACTIONS+ON+INTELLIGENT+TRANSPORTATION+SYSTEMS
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