This paper considers distributed optimization algorithms, with application in binary
classification via distributed support vector machines (D-SVM) over multi-agent networks …

This thesis studies collaborative learning framework, where a group of agents cooperate to
learn a powerful model from their local data in a distributed or decentralized manner. We …

The rapid growth of data generated by modern applications, such as social media, sensor
networks, and cloud-based databases in various fields, including healthcare, finance, e …