Exploring Multi-Banking Customer-to-Customer Relations in AML Context with Poincaré Embeddings

no code implementations • 4 Dec 2019 • Lucia Larise Stavarache, Donatas Narbutis, Toyotaro Suzumura, Ray Harishankar, Augustas Žaltauskas

In the recent years money laundering schemes have grown in complexity and speed of realization, affecting financial institutions and millions of customers globally.

Towards Federated Graph Learning for Collaborative Financial Crimes Detection

no code implementations • 19 Sep 2019 • Toyotaro Suzumura, Yi Zhou, Natahalie Baracaldo, Guangnan Ye, Keith Houck, Ryo Kawahara, Ali Anwar, Lucia Larise Stavarache, Yuji Watanabe, Pablo Loyola, Daniel Klyashtorny, Heiko Ludwig, Kumar Bhaskaran

Advances in technology used in this domain, including machine learning based approaches, can improve upon the effectiveness of financial institutions' existing processes, however, a key challenge that most financial institutions continue to face is that they address financial crimes in isolation without any insight from other firms.

Federated Learning Graph Learning