Interactive Inference under Information Constraints. Acharya, J., Canonne, C. L., Liu, Y., Sun, Z., & Tyagi, H. CoRR, 2020.
[ACLST20] Focuses on density estimation (learning) and goodness-of-fit (identity testing) of discrete distributions with regard to total variation ($\ell_1$ metric), for sequentially interactive protocols under general local information constraints. Implies tight bounds for those problems under LDP and communication constraints.

Interactive Inference under Information Constraints [link]Paper  bibtex   23 downloads  
@article{ACLST20,
  author    = {Jayadev Acharya and
               Cl{\'{e}}ment L. Canonne and
               Yuhan Liu and
               Ziteng Sun and
               Himanshu Tyagi},
  title     = {Interactive Inference under Information Constraints},
  journal   = {CoRR},
  volume    = {abs/2007.10976},
  year      = {2020},
  url       = {https://arxiv.org/abs/2007.10976},
  archivePrefix = {arXiv},
  eprint    = {2007.10976},
  bibbase_note = {<div class="well well-small bibbase"><span class="bluecite">[ACLST20]</span> Focuses on density estimation (learning) and goodness-of-fit (identity testing) of discrete distributions with regard to total variation ($\ell_1$ metric), for sequentially interactive protocols under general local information constraints. Implies tight bounds for those problems under LDP and communication constraints.</div>}
}

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