Issues

• Clarify reproducibility tolerance across platforms

  mi-erasmusmc/FederatedLearning#20 · Filter by author egillax opened on May 7, 2026

• Evaluate summation accuracy for large reductions

  mi-erasmusmc/FederatedLearning#19 · Filter by author egillax opened on May 7, 2026

• Decide whether observation weights are supported

  mi-erasmusmc/FederatedLearning#18 · Filter by author egillax opened on May 7, 2026

• Add penalized objective consistency tests

  mi-erasmusmc/FederatedLearning#15 · Filter by author egillax opened on May 7, 2026

• Define invalid numeric input handling

  mi-erasmusmc/FederatedLearning#17 · Filter by author egillax opened on May 7, 2026

• Add optimizer-level finite-value stress tests

  mi-erasmusmc/FederatedLearning#16 · Filter by author egillax opened on May 7, 2026

• Review diagnostics and communication outputs for privacy-sensitive summaries

  mi-erasmusmc/FederatedLearning#12 · Filter by author egillax opened on May 7, 2026

• Add adversarial correctness and reproducibility tests

  mi-erasmusmc/FederatedLearning#11 · Filter by author egillax opened on May 7, 2026

• Add feature specification validation for PLP covariate alignment

  mi-erasmusmc/FederatedLearning#10 · Filter by author egillax opened on May 7, 2026