A Communication-Efficient Distributed Frank-Wolfe Online Algorithm with an Event-Triggered Mechanism
Academic Background In the era of big data, distributed learning has become an effective method for solving large-scale online machine learning problems. However, frequent communication and projection operations in distributed learning incur high communication and computational costs. Especially in high-dimensional constrained optimization problems...