Bridging the Gap: Addressing Heterogeneity in Local Models for Enhanced Multiparty Learning
Naviya
Broschiertes Buch

Bridging the Gap: Addressing Heterogeneity in Local Models for Enhanced Multiparty Learning

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in the system. Note that all these works rely on a trusted central server to coor-dinate the distributed learning process, which obviously becomes a single point of failure and can be subject to attacks. Only a couple of works like31 attempt to design decentralized multiparty learning systems. Note that only linear models are considered in31. To the best of our knowledge, secure decentralized multiparty learning with heterogeneous models remains an open and challenging problem.In this section, we propose a novel secure decentralized multiparty learning sys-tem by taking advantage of the blockc...