Quantized Distributed Online Kernel Learning

In this paper we propose a communication-efficient kernel-based learning method by means of random-feature approximation and quantization. The proposed algorithm is named quantized distributed online kernel learning (QDOKL). We theoretically prove that QDOKL over $N$ time slots can achieve an optima... View More