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06/25/2021
Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems
Stochastic nested optimization, including stochastic compositional, min-...
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02/09/2021
A Single-Timescale Stochastic Bilevel Optimization Method
Stochastic bilevel optimization generalizes the classic stochastic optim...
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12/31/2020
CADA: Communication-Adaptive Distributed Adam
Stochastic gradient descent (SGD) has taken the stage as the primary wor...
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08/25/2020
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization
Stochastic compositional optimization generalizes classic (non-compositi...
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07/12/2020
VAFL: a Method of Vertical Asynchronous Federated Learning
Horizontal Federated learning (FL) handles multi-client data that share ...
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02/26/2020
LASG: Lazily Aggregated Stochastic Gradients for Communication-Efficient Distributed Learning
This paper targets solving distributed machine learning problems such as...
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10/11/2019
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme
The incremental aggregated gradient algorithm is popular in network opti...
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09/23/2019
Decentralized Markov Chain Gradient Descent
Decentralized stochastic gradient method emerges as a promising solution...
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11/22/2018
Markov Chain Block Coordinate Descent
The method of block coordinate gradient descent (BCD) has been a powerfu...
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09/12/2018
