1. J. Alonso-Mora, E. Montijano, M. Schwager, and D. Rus. 2016. Distributed multi-robot formation control among obstacles: A geometric and optimization approach with consensus. In Proceedings of the 2016 IEEE International Conference on Robotics and Automation. 5356–5363.
2. R. Aragues, C. Sagues, and Y. Mezouar. 2013. Feature-based map merging with dynamic consensus on information increments. In Proceedings of the 2013 IEEE International Conference on Robotics and Automation. 2725–2730.
3. G. Asharov, A. Jain, A. López-Alt, E. Tromer, V. Vaikuntanathan, and D. Wichs. 2012. Multiparty computation with low communication, computation and interaction via threshold FHE. In Proceedings of the Advances in Cryptology – EUROCRYPT 2012. 483–501.
4. A. Bellet, R. Guerraoui, M. Taziki, and M. Tommasi. 2018. Personalized and private peer-to-peer machine learning. In Proceedings of the 21st International Conference on Artificial Intelligence and Statistics.PMLR, 473–481.
5. F. Boenisch A. Dziedzic R. Schuster A. S. Shamsabadi I. Shumailov and N. Papernot. 2021. When the curious abandon honesty: Federated learning is not private. arXiv:2112.02918. Retrieved from https://arxiv.org/abs/2112.02918.