Mixture-of-Experts (MoE) systems solve intricate problems by combining results generated independently by multiple computational models (the “experts”). Given an instance of a...
Abstract—Online optimization allows the continuous restructuring and adaptation of an executing application using live information about its execution environment. The further ad...
A graph-based framework for dynamic fractional frequency reuse (FFR) in multi-cell OFDMA networks is proposed in this work. FFR is a promising resource allocation technique that c...
Ronald Chang, Zhifeng Tao, Jinyun Zhang, C.-C. Jay...
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
Abstract. Gossip-based information dissemination protocols are considered easy to deploy, scalable and resilient to network dynamics. Loadbalancing is inherent in these protocols a...