Federated Attention Autoencoders with a Stochastic Aggregation Scheme for Anomaly Detection

arXiv:2608.08906 · cs.LG · Submitted 2026-08-09 · Read on arXiv

Mihailo Ilić, Miloš Savić, Vladimir Kurbalija, Mirjana Ivanović, Giancarlo Fortino, Dušan Jakovetić

cs.LG

Submitted: 2026-08-09

Updated: 2026-08-11

Comments: Accepted and presented at the 3rd International Conference on Federated Learning Technologies and Applications (FLTA 2025)

Journal ref: Proceedings of the 3rd International Conference on Federated Learning Technologies and Applications (FLTA 2025)

DOI: 10.1109/FLTA67013.2025.11336743

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Federated Learning — 26× in this paper · explained in 19 episodes
• F1 Score — 15× in this paper · explained in 4 episodes
• AUC — 10× in this paper · explained in 2 episodes
• Decoder — 7× in this paper · explained in 2 episodes
• Attention Mechanism — 4× in this paper · explained in 3 episodes
• Clustering — 4× in this paper · explained in 2 episodes
• Latent Representation — 4× in this paper · explained in 2 episodes
• Representation Learning — 3× in this paper · explained in 3 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Editor — 2× in this paper · explained in 2 episodes
• Latent Representations — 2× in this paper · explained in 3 episodes
• Non-IID Data — 2× in this paper · explained in 2 episodes
• Personalization — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 6 episodes
• Adam — 1× in this paper · explained in 3 episodes
• Communication Overhead — 1× in this paper · explained in 2 episodes
• Conference on Federated Learning Technologies and Applications — 1× in this paper
• Energy Efficiency — 1× in this paper · explained in 4 episodes
• Federated Learning (FL) — 1× in this paper · explained in 12 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 3 episodes
• Hyperparameters — 1× in this paper · explained in 2 episodes
• Internet of Things — 1× in this paper
• Latent Space — 1× in this paper · explained in 7 episodes
• Machine Learning (ML) — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes

Sources

• Federated Learning of a Mixture of Global and Local Models
• Federated Evaluation of On-device Personalization

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