Reliable Federated TinyML Deployment for IoT Security

arXiv:2609.27202 · cs.CR, cs.LG · Submitted 2026-09-23 · Read on arXiv

cs.CR, cs.LG

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

Quantization — 23× in this paper · explained in 12 episodes
Accuracy — 15× in this paper · explained in 1 episode
Federated Learning — 12× in this paper · explained in 14 episodes
Distillation — 10× in this paper · explained in 2 episodes
Pruning — 10× in this paper · explained in 4 episodes
Knowledge Distillation — 9× in this paper · explained in 11 episodes
Quantization-Aware Training — 6× in this paper · explained in 3 episodes
Robustness — 6× in this paper · explained in 5 episodes
Adversarial Robustness — 3× in this paper · explained in 3 episodes
Federated Learning (FL) — 3× in this paper · explained in 7 episodes
Fine-Tuning — 3× in this paper · explained in 5 episodes
Internet of Things — 3× in this paper
Aggregation — 2× in this paper · explained in 1 episode
Communication Overhead — 2× in this paper · explained in 2 episodes
Edge Deployment — 2× in this paper · explained in 2 episodes
Fast Gradient Sign Method — 2× in this paper
Adversarial Attacks — 1× in this paper · explained in 1 episode
Adversarial Examples — 1× in this paper · explained in 2 episodes
Adversarial Training — 1× in this paper · explained in 1 episode
Edge Devices — 1× in this paper · explained in 2 episodes
Projected Gradient Descent — 1× in this paper

Sources

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