activity
20242026
most citedLotto: Secure Participant Selection against Adversarial Servers in Federated Learning

2 citations · 2 across the 6 of their papers we have counts for

collaborators
Showing 2025Show all

2 papers · 1 filter

cs.LG2025

Private Online Learning against an Adaptive Adversary: Realizable and Agnostic Settings

Bo Li, Wei Wang, Peng Ye

We revisit the problem of private online learning, in which a learner receives a sequence of data points and has to respond at each time-step a hypothesis. It is required that…

stat.ML2025

Private Realizable-to-Agnostic Transformation with Near-Optimal Sample Complexity

Bo Li, Wei Wang, Peng Ye

The realizable-to-agnostic transformation (Beimel et al., 2015; Alon et al., 2020) provides a general mechanism to convert a private learner in the realizable setting (where the ex…