The field of secure communication and distributed learning is rapidly evolving, with a focus on developing innovative solutions to address the challenges of privacy, security, and efficiency. Recent research has explored the use of lattice-based cryptography, reconfigurable intelligent surfaces, and federated learning to enhance the security and performance of communication systems. Notably, the development of authenticated satellite pseudoranges and post-quantum secure authentication schemes has significant implications for the security of satellite-based communication systems. Furthermore, the application of graph theory and machine learning techniques to distributed learning has led to the creation of more efficient and scalable algorithms. Overall, the field is moving towards the development of more secure, efficient, and adaptive communication systems. Noteworthy papers include: the introduction of the world's first authenticated satellite pseudorange from orbit, which provides a secure and reliable means of satellite-based communication. The proposal of a lattice-based dynamic k-times anonymous authentication scheme, which offers post-quantum security and efficient communication.