382 citations · 1.7k across the 82 of their papers we have counts for
10 papers · 1 filter
Manifold-Aware General Coded Computing for Straggler-Resilient Distributed Computing
Parsa Moradi, Mohammad Ali Maddah-Ali
Existing coded-computing designs do not explicitly exploit the intrinsic structure of the input data. In communication systems, statistical structure and redundancy are often remov…
Learning-Theoretic Foundation for General Coded Computing: The Straggler Setting
Parsa Moradi, Behrooz Tahmasebi, Mohammad Ali Maddah-Ali
Coded computing has emerged as a powerful paradigm for mitigating the impact of straggling workers in distributed computing systems. However, existing coded-computing schemes are p…
\mathsf{VISTA}: Decentralized Machine Learning in Adversary Dominated Environments
Hanzaleh Akbari Nodehi, Parsa Moradi, Soheil Mohajer +1
Decentralized machine learning often relies on outsourcing computations, such as gradient evaluations, to untrusted worker nodes. Existing robust aggregation methods can mitigate m…
Game of Coding: Coding Theory in the Presence of Rational Adversaries, Motivated by Decentralized Machine Learning
Hanzaleh Akbari Nodehi, Viveck R. Cadambe, Mohammad Ali Maddah-Ali
Coding theory plays a crucial role in enabling reliable communication, storage, and computation. Classical approaches assume a worst-case adversarial model and ensure error correct…
DReS: Dual Reconstruction Smoothing for Functional Regularization
Parsa Moradi, Tayyebeh Jahaninezhad, Hanzaleh Akbarinodehi +1
Smoothness is a key inductive bias in machine learning and is closely related to generalization. Existing smoothness-inducing methods typically rely either on explicit gradient reg…
Adversarial Robustness of Nonparametric Regression
Parsa Moradi, Hanzaleh Akabrinodehi, Mohammad Ali Maddah-Ali
In this paper, we investigate the adversarial robustness of nonparametric regression, a fundamental problem in machine learning, under the setting where an adversary can arbitraril…