2 papers
cs.IT2026
Robustness to Sparse Adversarial Corruption in Arbitrary Linear Measurements: Beyond Exact Recovery
Vishal Halder, Alexandre Reiffers-Masson, Abdeldjalil Aïssa-El-Bey +1
Recovery from linear measurements under sparse adversarial corruption is typically formulated as an exact-recovery problem: one seeks structural conditions on (e.g., r…
stat.ML2026
Tight Convergence Rates for Online Distributed Linear Estimation with Adversarial Measurements
Nibedita Roy, Vishal Halder, Gugan Thoppe +4
We study mean estimation of a random vector in a distributed parameter-server-worker setup. Worker observes samples of , where is the th row of a…