Research map / Federated learning and privacy / Personalized and heterogeneous FL
Federated ADMM from Bayesian Duality
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Connecting Federated ADMM to Bayes (ICLR 2025 · similarity 0.89)
- Fast and Provable ADMM for Learning with Generative Priors (NeurIPS 2019 · similarity 0.87)
- ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization (NeurIPS 2017 · similarity 0.87)
- Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems (AAAI 2024 · similarity 0.84)
- Decoupling Training-Free Guided Diffusion by ADMM (CVPR 2025 · similarity 0.84)
- ADMM for Nonconvex Optimization under Minimal Continuity Assumption (ICLR 2025 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
