TS-073844 — Current communication systems often struggle with efficiency and reliability, especially in noisy environments and varying relay positions. Traditional methods focus on exact message reconstruction, which can be resource-intensive and less effective for real-time applications. There is a growing n…

TS-073842 — In the era of 6G and beyond, efficient and robust communication of multimodal messages (text and images) is critical, especially in resource-constrained environments. Current methods struggle with noise robustness and codeword length, leading to inefficiencies and increased error rates. There is a…

TS-073841 — Current federated learning (FL) systems face significant challenges in efficiently aggregating model updates over wireless networks, especially in environments with diverse data and varying channel conditions. There is a critical need for a solution that enhances bandwidth efficiency, personalizat…