Content Compression Coding for Federated Learning

As machine learning requires distributed framework, Federated Learning(FL) is proposed to address the distributed computations in machine learning, especially for privacy protection. In FL, an important problem is to reduce the transmission quantity between the terminals and the centralized server. In this paper the content compression coding for FL is proposed, which can efficiently reduce the required transmission bandwidth. The correlation...