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Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification.

Yiwei LiChien-Wei HuangShuai WangChong-Yung ChiTony Q. S. Quek
Published in: CoRR (2023)
Keyphrases
  • privacy preserving
  • primal dual
  • special case
  • solving problems
  • convex optimization problems
  • data mining
  • reinforcement learning
  • convex optimization
  • lower bound
  • linear programming
  • sensitive data
  • convex programming