DS-ADMM++: A Novel Distributed Quantized ADMM to Speed up Differentially Private Matrix Factorization.
Feng ZhangErkang XueRuixin GuoGuangzhi QuGansen ZhaoAlbert Y. ZomayaPublished in: IEEE Trans. Parallel Distributed Syst. (2022)
Keyphrases
- matrix factorization
- differentially private
- collaborative filtering
- total variation
- convex optimization
- recommender systems
- low rank
- missing data
- nonnegative matrix factorization
- factorization methods
- negative matrix factorization
- differential privacy
- stochastic gradient descent
- image restoration
- raw data
- peer to peer
- graphical models
- multiscale