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References
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István Hegedűs, Lehel Nyers and Róbert Ormándi. Detecting Concept Drift in Fully Distributed Environments, IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics, 2012
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István Hegedűs, Róbert Ormándi and Márk Jelasity. Gossip-based Learning under Drifting Concepts in Fully Distributed Networks, IEEE Sixth International Conference on Self-Adaptive and Self-Organizing Systems, 2012
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István Hegedűs, Róbert Busa-Fekete, Róbert Ormándi, Márk Jelasity and Balázs Kégl. Peer-to-Peer Multi-class Boosting, Euro-Par 2012 Parallel Processing, 2012, DOI
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Róbert Ormándi, István Hegedűs and Márk Jelasity. Gossip learning with linear models on fully distributed data, Concurrency and Computation: Practice and Experience, 2012, DOI
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Róbert Ormándi, István Hegedűs and Márk Jelasity. Asynchronous peer-to-peer data mining with stochastic gradient descent, Proceedings of the 17th international conference on Parallel processing - Volume Part I, 2011, DOI