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Alireza Fallah

Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy

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Oct 24, 2024
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Fair Allocation in Dynamic Mechanism Design

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May 31, 2024
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Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms

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Jan 10, 2022
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Private Adaptive Gradient Methods for Convex Optimization

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Jun 25, 2021
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A Wasserstein Minimax Framework for Mixed Linear Regression

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Jun 16, 2021
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Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks

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Feb 07, 2021
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Personalized Federated Learning: A Meta-Learning Approach

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Feb 19, 2020
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An Optimal Multistage Stochastic Gradient Method for Minimax Problems

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Feb 13, 2020
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Provably Convergent Policy Gradient Methods for Model-Agnostic Meta-Reinforcement Learning

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Feb 12, 2020
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Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks

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Nov 15, 2019
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