Ziyam Khan

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Research

Discovery consists of seeing what everybody has seen and thinking what nobody has thought.

— Albert Szent-Györgyi · The Scientist Speculates, 1962

Papers and work in progress

Published, accepted and in preparation.

Showing 5 of 5 works

  1. Conference

    Accepted, to appear (conference in April 2027)

    Sole author

    Adversary-Aware Aggregation for Federated Learning on Contested Edge Networks

    IC3AI, Dr. B. R. Ambedkar NIT Jalandhar

    Reported from single runs: when an adversary decides which clients go missing, aggregation that tracks who is absent loses accuracy more slowly than FedAvg. A pre-registered re-test found the gain indistinguishable from zero.

    Follow-up: Re-examined under pre-registration in Absence Not at Random

  2. Journal

    Manuscript in preparation

    Sole author

    Absence Not at Random: A Pre-Registered Study of Strategic Client Silence in Federated Learning

    When an adversary chooses which federated-learning clients go silent, the loss lands on the classes they hold, reweighting barely helps, and server memory turns harmful because the adversary controls how stale stored updates become.

    deterministic training runs
    650
    points lost to strategic vs random silence at 50% silenced (EMNIST)
    4.0 vs 1.2
    strategic settings where server memory turns harmful
    9 of 10
    memory horizon that removes most of that loss
    10 rounds

    Builds on: Adversary-aware aggregation

  3. Journal

    Designed

    Sole author

    Energy-MNAR: federated load forecasting when meters drop out for structural reasons

    When availability depends on the data itself, ignoring it biases the federated model.

      Builds on: Adversary-aware aggregation

    • Conference

      Published, May 2026

      Second author

      A Reinforcement Learning-Based Adaptive Traffic Signal Control Framework for the Waghodia Road University Corridor

      8th PiCET, Vadodara

      • Conference

        Published, May 2026

        Seventh author

        An AI-Driven Safe House Identification Portal for Civilian Protection During Air Missile-Intensive Armed Conflicts

        8th PiCET, Vadodara

        How the work connects

        The conference paper came first. Each journal paper builds on it.

        Conference

        1. strategicAdversary-aware aggregationIC3AI · Accepted, to appear

        Journal

        1. strategicStrategic client silenceManuscript in preparationBuilds on Adversary-aware aggregation.
        2. structuralEnergy-MNARDesignedBuilds on Adversary-aware aggregation.
        • Where the line starts
        • Builds on it