3 papers
cs.IT2026
Memory Constrained Adversarial Hypothesis Testing
Malhar A. Managoli, Vinod M. Prabhakaran
We study adversarial binary hypothesis testing under memory constraints. The test is a time-invariant randomized finite state machine (FSM) with S states. Associated with each hypo…
cs.LG2025
Robust Federated Personalised Mean Estimation for the Gaussian Mixture Model
Malhar A. Managoli, Vinod M. Prabhakaran, Suhas Diggavi
Federated learning with heterogeneous data and personalization has received significant recent attention. Separately, robustness to corrupted data in the context of federated learn…
cs.IT2025
Robust Hypothesis Testing with Abstention
Malhar A. Managoli, K. R. Sahasranand, Vinod M. Prabhakaran
We study the binary hypothesis testing problem where an adversary may potentially corrupt a fraction of the samples. The detector is, however, permitted to abstain from making a de…