Secure Aggregation for Privacy-Preserving Federated Learning on Clinical EEG Data

arXiv:2607.28191 · cs.CR, cs.DC, cs.LG · Submitted 2026-07-30 · Read on arXiv

cs.CR, cs.DC, cs.LG

Submitted: 2026-07-30

Updated: 2026-09-07

Comments: 27 pages, 6 figures, 7 tables. A version of this manuscript has been accepted for presentation at the International Workshop on Hot Topics at the Intersection of Distributed Machine Learning and Security (HotDiSec 2026), co-located with ESORICS 2026

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

Terminology

Aggregation — 156× in this paper · explained in 1 episode
Verification — 72× in this paper · explained in 2 episodes
Federated Learning — 42× in this paper · explained in 14 episodes
Consistency — 29× in this paper · explained in 3 episodes
Verifiability — 15× in this paper · explained in 2 episodes
Accuracy — 9× in this paper · explained in 1 episode
Differential Privacy — 6× in this paper · explained in 4 episodes
Quantization — 6× in this paper · explained in 12 episodes
Core — 4× in this paper · explained in 2 episodes
Abstraction — 3× in this paper · explained in 1 episode
Decode — 3× in this paper · explained in 2 episodes
Non-IID Data — 3× in this paper · explained in 2 episodes
Robustness — 3× in this paper · explained in 5 episodes
Benchmark — 2× in this paper · explained in 2 episodes
Sparsity — 2× in this paper · explained in 4 episodes
1D CNN — 1× in this paper · explained in 2 episodes
Adam — 1× in this paper · explained in 2 episodes
Communication Overhead — 1× in this paper · explained in 2 episodes
Data Fusion — 1× in this paper · explained in 3 episodes
Federated Learning (FL) — 1× in this paper · explained in 7 episodes
Information Leakage — 1× in this paper · explained in 2 episodes
Mask Generation — 1× in this paper · explained in 2 episodes

Secure Aggregation for Privacy-Preserving Federated Learning on Clinical EEG Data

Terminology

Sources

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