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@dr-bell

Device Research at Nokia Bell Labs

Device Research at Nokia Bell Labs

We study the forms and intelligence of emerging mobile, IoT, and wearable devices. We are interested in the system and algorithmic challenges of building multi-sensory device platforms that learn, infer, and augment human behavior.

For more information, please visit our official webpage.

Popular repositories

  1. data-centric-federated-learning data-centric-federated-learning Public

    Enhancing Efficiency in Multidevice Federated Learning through Data Selection

    Python 6

  2. CroSSL CroSSL Public

    (WSDM'24) Cross-modal Self-Supervised Learning for Time-series through Latent Masking

    Python 5 2

  3. salted-dnns salted-dnns Public

    (HotMobile'24) Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing

    Python 5

  4. kaizen kaizen Public

    (WACV'24) Kaizen: Practical self-supervised continual learning with continual fine-tuning

    Python 4

  5. .github .github Public

    Public ReadMe

Repositories

Showing 5 of 5 repositories
  • data-centric-federated-learning Public

    Enhancing Efficiency in Multidevice Federated Learning through Data Selection

    Python 6 BSD-3-Clause-Clear 0 0 0 Updated Apr 15, 2024
  • CroSSL Public

    (WSDM'24) Cross-modal Self-Supervised Learning for Time-series through Latent Masking

    Python 5 BSD-3-Clause-Clear 2 0 0 Updated Feb 20, 2024
  • salted-dnns Public

    (HotMobile'24) Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing

    Python 5 BSD-3-Clause 0 0 0 Updated Jan 22, 2024
  • kaizen Public

    (WACV'24) Kaizen: Practical self-supervised continual learning with continual fine-tuning

    Python 4 0 0 0 Updated Dec 29, 2023
  • .github Public

    Public ReadMe

    0 0 0 0 Updated Oct 23, 2023

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