Hanlin Tang

Analysis on Convergence of Stochastic Processes in Cloud Computing Models

2018

On cloud computing systems consisting of task queuing and resource allocations, it is essential but hard to model and evaluate the global performance. In most of the models, researchers use a stochastic process or several …

Central Server Free Federated Learning over Single-sided Trust Social Networks

2019 · arXiv (Cornell University)

Federated learning has become increasingly important for modern machine learning, especially for data privacy-sensitive scenarios. Existing federated learning mostly adopts the central server-based architecture or centralized architecture. However, in many social network scenarios, centralized federated …