Active Inference for Bandit-Based Autonomous Robotic Exploration With Dynamic Preferences
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Robotics"
DOI: 10.1109/tro.2025.3577041
Abstract: Autonomous selection of optimal options for data collection from multiple alternatives is challenging in uncertain environments. When secondary information about options is accessible, such problems can be framed as contextual multiarmed bandits (CMABs). Neuroinspired active… read more here.
Keywords: inference bandit; exploration; inference; bandit based ... See more keywords
Multi-Armed Bandit-Based Client Scheduling for Federated Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2020.3008091
Abstract: By exploiting the computing power and local data of distributed clients, federated learning (FL) features ubiquitous properties such as reduction of communication overhead and preserving data privacy. In each communication round of FL, the clients… read more here.
Keywords: multi armed; client scheduling; bandit based; federated learning ... See more keywords