Federated Learning on Riemannian Manifolds with Differential Privacy

Documenti analoghi

• Riemannian Federated Learning via Averaging Gradient Streams
  di: Huang, Zhenwei, et al.
  Pubblicazione: (2024)
• A Heuristic Alternating Direction Method of Multipliers Framework for Distributed and Centralized Tree-Constrained Optimization: Applications to Hop-Constrained Spanning Tree Multicommodity Flow Design
  di: Mokhtari, Yacine
  Pubblicazione: (2025)
• Distributed Computing for Huge-Scale Aggregative Convex Programming
  di: Tao, Luoyi
  Pubblicazione: (2026)
• SUDA-Muon: Structural Design Principles and Boundaries for Fully Decentralized Muon
  di: Zhang, Hengrui, et al.
  Pubblicazione: (2026)
• Stable gradient-adjusted root mean square propagation on least squares problem
  di: Li, Runze, et al.
  Pubblicazione: (2024)