Search Results - "Naas, Si‐Ahmed"

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  1. 1

    Privacy‐preserving federated learning based on multi‐key homomorphic encryption by Ma, Jing, Naas, SiAhmed, Sigg, Stephan, Lyu, Xixiang

    “…With the advance of machine learning and the Internet of Things (IoT), security and privacy have become critical concerns in mobile services and networks…”
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    Journal Article
  2. 2

    Fast converging Federated Learning with Non-IID Data by Naas, Si-Ahmed, Sigg, Stephan

    “…With the advancement of device capabilities, Internet of Things (IoT) devices can employ built-in hardware to perform machine learning (ML) tasks, extending…”
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    Conference Proceeding
  3. 3

    Knowledge Sharing in AI Services: A Market-Based Approach by Mohammed, Thaha, Naas, Si-Ahmed, Sigg, Stephan, Di Francesco, Mario

    Published in IEEE internet of things journal (15-01-2023)
    “…Today's deep neural networks (DNNs) are very accurate when trained on a large amount of data. However, suitable input might not be available or may require…”
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    Journal Article
  4. 4

    SVP: Sinusoidal Viewport Prediction for 360-Degree Video Streaming by Jiang, Xiaolan, Naas, Si Ahmed, Chiang, Yi-Han, Sigg, Stephan, Ji, Yusheng

    Published in IEEE access (2020)
    “…The rapid growth of user expectations and network technologies has proliferated the service needs of 360-degree video streaming. In the light of the…”
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    Journal Article
  5. 5

    Real-time Emotion Recognition for Sales by Naas, Si-Ahmed, Sigg, Stephan

    “…Positive emotion is a pre-condition to any sales contract. Likewise, the ability to perceive the emotions of a customer impacts sales performance.To support…”
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    Conference Proceeding
  6. 6

    Sharing geotagged pictures for an Emotion-based Recommender System by Hitz, Andreas, Naas, Si-Ahmed, Sigg, Stephan

    “…Recommender systems are prominently used for movie or app recommendation or in e-commerce by considering profiles, past preferences and increasingly also…”
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    Conference Proceeding
  7. 7

    A Global Brain fuelled by Local intelligence: Optimizing Mobile Services and Networks with AI by Naas, Si-Ahmed, Mohammed, Thaha, Sigg, Stephan

    “…Artificial intelligence (AI) is among the most influential technologies to improve daily lives and to promote further economic activities. Recently, a…”
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    Conference Proceeding
  8. 8

    Privacy-preserving Federated Learning based on Multi-key Homomorphic Encryption by Ma, Jing, Naas, Si-Ahmed, Sigg, Stephan, Lyu, Xixiang

    Published 14-04-2021
    “…With the advance of machine learning and the internet of things (IoT), security and privacy have become key concerns in mobile services and networks…”
    Get full text
    Journal Article
  9. 9

    Scheduled Communications in Next Generationmobile Networks by Taleb, Tarik, Bagaa, Miloud, Naas, Si-Ahmed

    “…5G, as the next phase of mobile communications standards, intends to offer connectivity with greater throughput, higher capacity, lower latency and higher…”
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    Conference Proceeding