Metadata
Technology & Computer Science Any Level Create Hard
Metadata
  • Subject

    Technology & Computer Science

  • Education level

    Any Level

  • Cognitive goals

    Create

  • Difficulty estimate

    Hard

  • Tags

    federated learning, edge computing, differential privacy, secure aggregation, poisoning defense

  • Number of questions

    5

  • Created on

  • Generation source

    Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini

  • License

    CC0 Public domain

  • Prompt

    Assess students' ability to design a secure, scalable, and privacy-preserving federated learning architecture for heterogeneous edge devices. The quiz should test understanding and application of model aggregation strategies (e.g., FedAvg, robust and secure aggregation), communication protocols and trade-offs (latency, bandwidth, compression), differential privacy techniques and parameter tuning, and defenses against poisoning and inference attacks; require threat modeling, justification of trade-offs, and concrete deployment recommendations.
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.