no code implementations • 6 May 2024 • Xiaoxue Yu, Xingfu Yi, Rongpeng Li, Fei Wang, Chenghui Peng, Zhifeng Zhao, Honggang Zhang
Existing distributed learning frameworks like Federated Learning and Split Learning often struggle with significant challenges in dynamic network environments including high synchronization demands, costly communication overheads, severe computing resource consumption, and data heterogeneity across network nodes.
no code implementations • 31 Jul 2023 • Siyu Tong, Xiaoxue Yu, Rongpeng Li, Kun Lu, Zhifeng Zhao, Honggang Zhang
Semantic communication (SemCom) demonstrates strong superiority over conventional bit-level accurate transmission, by only attempting to recover the essential semantic information of data.