MOSAIC-FL, a micro-service based privacy-preserving framework with application to genomics

arXiv:2607.25107 · cs.CR, cs.LG · Submitted 2026-07-27 · Read on arXiv

Paul Largillier, Karl Paygambar, Cédric Gouy-Pailler, Vincent Meyer, Mallek Mziou, Oana Stan

cs.CR, cs.LG

Submitted: 2026-07-27

Comments: 8 pages, 4 figures, 2 tables. Accepted and presented at SECRYPT 2026, 23rd International Conference on Security and Cryptography, Porto, Portugal, 16-18 July 2026. https://secrypt.scitevents.org

Code: https://github.com/tuneinsight/lattigo

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

Terminology

Homomorphic Encryption — 21× in this paper
Aggregation — 16× in this paper · explained in 1 episode
Federated Learning — 13× in this paper · explained in 15 episodes
Transformer — 8× in this paper · explained in 2 episodes
Accuracy — 4× in this paper · explained in 1 episode
Communication Overhead — 4× in this paper · explained in 2 episodes
Federated Learning (FL) — 4× in this paper · explained in 7 episodes
Finite State Machine — 4× in this paper
Machine Learning — 4× in this paper
Core — 3× in this paper · explained in 2 episodes
Modularity — 3× in this paper · explained in 9 episodes
Adam — 2× in this paper · explained in 2 episodes
Aggregation Function — 1× in this paper · explained in 1 episode
Computational overhead — 1× in this paper · explained in 2 episodes
Consistency — 1× in this paper · explained in 3 episodes
Decode — 1× in this paper · explained in 2 episodes
Differential Privacy — 1× in this paper · explained in 4 episodes
Differential Privacy (DP) — 1× in this paper · explained in 7 episodes
Regularization — 1× in this paper · explained in 3 episodes
Ring Learning With Errors — 1× in this paper
Stochastic Gradient Descent (SGD) — 1× in this paper · explained in 5 episodes
Transformer Models — 1× in this paper · explained in 2 episodes

Terminology

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