![]() | GEIMER, A. M. D., Fiz, B., & STATE, R. (2025). On the Volatility of Shapley-Based Contribution Metrics in Federated Learning. Proceedings of the 2025 International Joint Conference on Neural Networks, 1-8. doi:10.1109/ijcnn64981.2025.11228157 Peer reviewed |
![]() | GEIMER, A. M. D., FIZ PONTIVEROS, B., & STATE, R. (14 November 2024). WallStreetFeds: Client-Specific Tokens as Investment Vehicles in Federated Learning [Poster presentation]. 5th ACM International Conference on AI in Finance. doi:10.1145/3677052.3698653 Peer reviewed |
![]() | SCHEIDT DE CRISTO, F., GEIMER, A. M. D., & STATE, R. (2023). NLAC: A Self-Maintained Trust Overlay for the XRP Ledger. Proceedings of 2023 IEEE Latin-American Conference on Communications (LATINCOM). Peer reviewed |