Distributed data mining (DDM) is an important research area. One of the approaches suitable for the DDM is to select relevant local patterns from the ...
In this paper the distributed data reduction through agent collaboration is proposed. The approach is to extend the agent-based distributed learning ...
One of the approaches suitable for the DDM is to select relevant local patterns from the distributed databases. Such patterns, often called prototypes, are ...
One of the approaches suitable for the DDM is to select relevant local patterns from the distributed databases. Such patterns, often called prototypes, are ...
In the paper two agent collaboration strategies producing a common set of features are proposed and experimentally validated and a discussion of the ...
In this paper an agent-based distributed learning framework based on data reduction is proposed. Data reduction aims at finding patterns or regularities ...
7 days ago · Practical insights from distributed problem solving with GenAI in planned multi-agent collaboration · The current models are faster in processing ...
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This study investigates the consensus tracking problem for unknown multi-agent systems (MASs) with time-varying communication topology
Missing: Collaboration. | Show results with:Collaboration.
Oct 18, 2024 · This paper introduces DistRL, a novel framework designed to enhance the efficiency of online RL fine-tuning for mobile device control agents.