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Quantum AI and Federated Learning
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Quantum AI and Federated Learning
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Achievement: QuickdrawAchievement: Starstruck

Achievements

Achievement: QuickdrawAchievement: Starstruck

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jpsahoo-01/README.md

Hi, I'm Dr. Jyoti Pr. Sahoo

Quantum AI & Federated Learning Researcher | Assistant Professor

About Me

I am a researcher and academic specializing in the intersection of Federated Learning, Quantum Machine Learning, and Cybersecurity. I recently completed my PhD at the Department of Computer Science and Information Engineering at the National Taiwan University of Science and Technology (Taiwan Tech).

My work is driven by the goal of empowering Industrial IoT and Edge Computing through secure, distributed, and quantum-enhanced AI systems.

  • PhD Thesis: Federated Learning for Explainable Intrusion Detection in Edge IoT: Leveraging Neural Boosting Ensembles, Hybrid Quantum-Classical Models, and Sparse Mixtures of Quantum Experts.
  • Core Focus: Federated Learning, Quantum AI, Explainable AI (XAI), Edge Computing, and Intrusion Detection Systems (IDS).
  • Looking Ahead: I am actively exploring new research avenues in Quantum Machine Learning and Cybersecurity, and I am highly open to collaborations and new opportunities.

Popular repositories Loading

  1. Blockchain-Federated-Learning Blockchain-Federated-Learning Public

    TeX 4

  2. Federated-Learning-based-Intrusion-Detection-System Federated-Learning-based-Intrusion-Detection-System Public

    Building an intrusion detection system before attacks for EoT network architecture based on Federated Learning model

    Jupyter Notebook 4 1

  3. Fed-RL-IDS Fed-RL-IDS Public

    Python 2

  4. Deep-Reinforcement-Learning-Algorithms-with-PyTorch Deep-Reinforcement-Learning-Algorithms-with-PyTorch Public

    Forked from p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

    PyTorch implementations of deep reinforcement learning algorithms and environments

    Python 1

  5. Deep-Reinforcement-Learning-Algorithms Deep-Reinforcement-Learning-Algorithms Public

    Forked from Rafael1s/Deep-Reinforcement-Learning-Algorithms

    32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

    Jupyter Notebook 1

  6. Network-Intrusion-Detection Network-Intrusion-Detection Public

    Forked from vinayakumarr/Network-Intrusion-Detection

    Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15

    Python 1