FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization

Junyi Li, Feihu Huang, Heng Huang
2/12/2026

No confident code implementation found for this paper. 2 possible matches can be shown below.

Semantic Scholar

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 2 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Cite this paper

@article{li2026fedda,
  title  = {FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization},
  author = {Junyi Li and Feihu Huang and Heng Huang},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:86dbba5e08964bbff1844a634dedbdbceb20b39a},
  journal = {ICLR 2024 2024}
}

Discussion