Model Poisoning via Variational Graph Representations

Kai Li (), Xin Yuan () and Wei Ni ()
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Kai Li: University of Luxembourg, Interdisciplinary Centre for Security, Reliability and Trust (SnT)
Xin Yuan: Commonwealth Scientific and Industrial Research Organisation (CSIRO), Data61 Business Unit
Wei Ni: Commonwealth Scientific and Industrial Research Organisation (CSIRO), Data61 Business Unit

Chapter 4 in Security and Resilience in Distributed Machine Learning, 2026, pp 31-51 from Springer

Abstract: Abstract FL has attracted significant attention recently, and emerged as a distributed deep learning paradigm. With FL, each user device trains its local model with its private data to generate local updates sent to the edge server without sharing the device’s private data. The edge server then aggregates the local updates to train a global model, which is sent back to the user devices for the next round of FL training. Based on FL, individual data privacy is protected as no private data is shared [28].

Date: 2026
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DOI: 10.1007/978-3-032-23959-4_4

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