HIGHLIGHTS
- who: WEN YAN et al. from the School of Information Science and Engineering, Southeast University, Nanjing, China have published the research: Low-Complexity Decentralized Recommendation System With Similarity Constraints, in the Journal: (JOURNAL)
- what: The authors focus on a general low-rank matrix factorization (LRMF) model with similarity constraints and propose a decentralized algorithm based on alternating direction method of multipliers (ADMM) to relieve the computation burden in each server while preserving privacy. With the coming of big data era, its research focuses on new algorithms integrated with big data characteristics such as decentralization and . . .
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