Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...
Abstract: This paper tackles the Distributed Resource Allocation (DRA) problem over unbalanced networks under bandwidth-limited communication constraints. To this end, a novel Quantized Distributed ...
Abstract: This paper addresses the issue of distributed predefined-time output optimization for heterogeneous multi-agent systems with equality constraints. A novel distributed algorithm is proposed ...