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SUMMARY:ECML-PKDD 2025 SynDaiTE workshop
DESCRIPTION:Our partner CeADAR actively contributed to the ECML-PKDD 2025 SynDaiTE workshop\, presenting both a poster and a talk on their paper DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts. \nThe paper introduces a state-of-the-art architecture for real-time data streams affected by concept drift\, leveraging a Mixture of Experts (MoE) approach that significantly reduces resource requirements and is well-suited for deployment across the cloud-edge continuum. \nThe methodology outlined in DriftMoE holds strong potential for adaptation within O-CEI Task 3.5 (Implementation of intra- and cross-domain data management\, observability\, and AI orchestration mechanisms)\, where CeADAR plays a leading role. The intent is to use router networks to recommend relevant models from O-CEI’s marketplace. Furthermore\, CeADAR is investigating ways to compress a MoE\, which would make it even more efficient for recommending resource-intensive models like LLMs\, a key part of our future research efforts. The paper acknowledges O-CEI. \nEvent website: \nhttps://aiimlab.org/events/ECML_PKDD_2025_SynDAiTE_Synthetic_Data_for_AI_Trustworthiness_and_Evolution
URL:https://o-cei.eu/event/ecml-pkdd-2025-syndaite-workshop/
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