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04/25/2023
Communication-Constrained Bandits under Additive Gaussian Noise
We study a distributed stochastic multi-armed bandit where a client supp...
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01/11/2023
Compression for Distributed Optimization and Timely Updates
The goal of this thesis is to study the compression problems arising in ...
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09/11/2021
Fundamental limits of over-the-air optimization: Are analog schemes optimal?
We consider over-the-air convex optimization on a d-dimensional space wh...
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04/02/2021
Information-constrained optimization: can adaptive processing of gradients help?
We revisit first-order optimization under local information constraints ...
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11/24/2020
Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side Information
Communication efficient distributed mean estimation is an important prim...
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01/24/2020
Limits on Gradient Compression for Stochastic Optimization
We consider stochastic optimization over ℓ_p spaces using access to a fi...
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08/22/2019
Finite Precision Stochastic Optimization -- Accounting for the Bias
We consider first order stochastic optimization where the oracle must qu...
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08/22/2019
Finite Precision Stochastic Optimisation -- Accounting for the Bias
We consider first order stochastic optimization where the oracle must qu...
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10/12/2018