The field of wireless communication is moving towards the development of more efficient and robust interference mitigation techniques. Researchers are exploring innovative approaches to address the challenges posed by remote interference, fronthaul constraints, and non-linear precoding. The use of null precoding, fractional programming, and dirty paper coding are being investigated to enhance network performance and achieve higher data rates. Additionally, the development of hybrid centralized-distributed precoding strategies and scalable pilot assignment algorithms is gaining attention. These advancements have the potential to significantly improve the spectral efficiency and reliability of next-generation wireless systems. Noteworthy papers include: Remote Interference Mitigation through Null Precoding and Fractional Programming, which demonstrates a 5.23~dB reduction in normalized mean square error for channel estimation. Hybrid centralized-distributed precoding in fronthaul-constrained CF-mMIMO systems, which consistently outperforms fully centralized and distributed approaches. Non-Linear Precoding via Dirty Paper Coding for Near-Field Downlink MISO Communications, which achieves substantial sum-rate gains over traditional linear precoding techniques.