pda: PDA: Privacy-preserving Distributed Algorithm

In pda: Privacy-Preserving Distributed Algorithms

PDA: Privacy-preserving Distributed Algorithm

Description

Fit Privacy-preserving Distributed Algorithms for linear, logistic, Poisson and Cox PH regression with possible heterogeneous data across sites.

Usage

pda(ipdata=NULL,site_id,control=NULL,dir=NULL,uri=NULL,secret=NULL,
upload_without_confirm=F, silent_message=F, digits=4,hosdata=NULL)

Arguments

ipdata	Local IPD data in data frame, should include at least one column for the outcome and one column for the covariates
site_id	Character site name
control	pda control data
dir	directory for shared flat file cloud
uri	Universal Resource Identifier for this run
secret	password to authenticate as site_id on uri
upload_without_confirm	logical. TRUE if want silent upload, no interactive confirm
silent_message	logical. TRUE if want to mute message
digits	digits after decimal points in the output json files
hosdata	(for dGEM) hospital-level data, should include the same name as defined in the control file

Value

control

control

References

Michael I. Jordan, Jason D. Lee & Yun Yang (2019) Communication-Efficient Distributed Statistical Inference,
Journal of the American Statistical Association, 114:526, 668-681
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/01621459.2018.1429274")}.
(DLM) Yixin Chen, et al. (2006) Regression cubes with lossless compression and aggregation. IEEE Transactions on Knowledge and Data Engineering, 18(12), pp.1585-1599.
(DLMM) Chongliang Luo, et al. (2020) Lossless Distributed Linear Mixed Model with Application to Integration of Heterogeneous Healthcare Data. medRxiv, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1101/2020.11.16.20230730")}.
(DPQL) Chongliang Luo, et al. (2021) dPQL: a lossless distributed algorithm for generalized linear mixed model with application to privacy-preserving hospital profiling.
medRxiv, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1101/2021.05.03.21256561")}.
(ODAL) Rui Duan, et al. (2020) Learning from electronic health records across multiple sites:
A communication-efficient and privacy-preserving distributed algorithm.
Journal of the American Medical Informatics Association, 27.3:376–385,
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1093/jamia/ocz199")}.
(ODAC) Rui Duan, et al. (2020) Learning from local to global: An efficient distributed algorithm for modeling time-to-event data.
Journal of the American Medical Informatics Association, 27.7:1028–1036,
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1093/jamia/ocaa044")}.
(ODACH) Chongliang Luo, et al. (2021) ODACH: A One-shot Distributed Algorithm for Cox model with Heterogeneous Multi-center Data.
medRxiv, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1101/2021.04.18.21255694")}.
(ODAH) Mackenzie J. Edmondson, et al. (2021) An Efficient and Accurate Distributed Learning Algorithm for Modeling Multi-Site Zero-Inflated Count Outcomes. medRxiv, pp.2020-12.
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1101/2020.12.17.20248194")}.
(ADAP) Xiaokang Liu, et al. (2021) ADAP: multisite learning with high-dimensional heterogeneous data via A Distributed Algorithm for Penalized regression.
(dGEM) Jiayi Tong, et al. (2022) dGEM: Decentralized Generalized Linear Mixed Effects Model
(COLA) Wu, Q., Reps, J.M., Li, L. et al. COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data. npj Digit. Med. 8, 442 (2025). https://doi.org/10.1038/s41746-025-01781-1.
(ODACT) Liang CJ, Luo C, Kranzler HR, Bian J, Chen Y. Communication-efficient federated learning of temporal effects on opioid use disorder with data from distributed research networks. J Am Med Inform Assoc. 2025 Apr 1;32(4):656-664. doi: 10.1093/jamia/ocae313. PMID: 39864407; PMCID: PMC12005629.
(DisC2o) Tong J, et al. 2025. DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data. Journal of Machine Learning Research. 2025;26(3):1-50.

See Also

pdaPut, pdaList, pdaGet, getCloudConfig and pdaSync.

pda documentation built on Nov. 18, 2025, 1:07 a.m.