Research map / Optimization / Distributed and compressed
Composite Optimization with Error Feedback: the Dual Averaging Approach
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
- EControl: Fast Distributed Optimization with Compression and Error Control (ICLR 2024 · similarity 0.90)
- Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants (ICLR 2024 · similarity 0.90)
- Tight analyses of first-order methods with error feedback (NeurIPS 2025 · similarity 0.88)
- Accelerated Methods with Compressed Communications for Distributed Optimization Problems Under Data Similarity (AAAI 2025 · similarity 0.87)
- Towards Faster Decentralized Stochastic Optimization with Communication Compression (ICLR 2025 · similarity 0.87)
- EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity (AAAI 2025 · similarity 0.87)
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.