Abstract: The allocation of tasks among multiple agents has emerged as a critical challenge, driven by the growing complexity of large-scale and dynamic systems. Conventional approaches, while ...

Six Bay Area researchers slammed recent funding cuts by President Donald Trump’s administration in a strongly worded lawsuit on Wednesday, arguing that the moves are not only unlawful but also ...

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 ...