Metadata
Technology & Computer Science Any Level Create Hard-
Subject
Technology & Computer Science
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Education level
Any Level
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Cognitive goals
Create
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Difficulty estimate
Hard
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Tags
federated learning, edge computing, differential privacy, secure aggregation, poisoning defense
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Number of questions
5
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Created on
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Generation source
Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini
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License
CC0 Public domain
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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.
Review & Revise
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%
Mock data used for demo purposes.