3 papers
cs.CR2025
Local Differential Privacy for Federated Learning with Fixed Memory Usage and Per-Client Privacy
Rouzbeh Behnia, Jeremiah Birrell, Arman Riasi +3
Federated learning (FL) enables organizations to collaboratively train models without sharing their datasets. Despite this advantage, recent studies show that both client updates a…
cs.LG2025
Delayed Attention Training Improves Length Generalization in Transformer--RNN Hybrids
Buu Phan, Reza Ebrahimi, Sanjay Haresh +1
We study length generalization in sequence models on a composite problem involving both state tracking and associative recall. Prior work finds that recurrent networks handle state…
cs.LG2025
Learning to Forget with Information Divergence Reweighted Objectives for Noisy Labels
Jeremiah Birrell, Reza Ebrahimi
We introduce ANTIDOTE, a new class of objectives for learning under noisy labels which are defined in terms of a relaxation over an information-divergence neighborhood. Using conve…