A Full Compression Pipeline for Green Federated Learning in Communication-Constrained Environments
面向通信受限环境的绿色联邦学习完整压缩流水线
机构 * Chair of Information Theory and Data Analytics (INDA), RWTH Aachen University（信息理论与数据分析教授职位（INDA），亚琛工业大学）
AI总结 本文提出一种完整压缩流水线FCP，通过整合剪枝、量化和霍夫曼编码技术，减少联邦学习中的通信和计算开销，提升效率与可持续性。
Comments This work was accepted at IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), 2026
