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A Universal Meta‐Heuristic Framework for Influence Maximisation in Hypergraphs

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Influence maximisation (IM) aims to select a small number of nodes that are able to maximise their influence in a network and covers a wide range of applications. Despite numerous attempts to provide effective solutions in simple networks, higher‐order interactions between entities in various real‐world systems are usually not taken into ...
Ming Xie   +5 more
wiley   +1 more source

Multi‐Objective Optimisation Framework for Heterogeneous Federated Learning

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Federated learning is a distributed framework that trains a centralised model using data from multiple clients without transferring that data to a central server. Despite rapid progress, federated learning still faces several unsolved challenges. Specifically, communication costs and system heterogeneity, such as nonidentical data distribution,
Jamshid Tursunboev   +4 more
wiley   +1 more source

Energy-Efficient Four-Layers Lora Broadcasting Scheme with Reinforcement Learning

open access: green
Xueshuo Chen   +5 more
openalex   +1 more source

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