
On the Performance of Exact Diffusion over Adaptive Networks
Various biascorrection methods such as EXTRA, DIGing, and exact diffusi...
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Dynamic Average Diffusion with randomized Coordinate Updates
This work derives and analyzes an online learning strategy for tracking ...
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Learning Under Distributed Features
This work studies the problem of learning under both large data and larg...
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Stochastic Learning under Random Reshuffling
In empirical risk optimization, it has been observed that stochastic gra...
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Belief Control Strategies for Interactions over Weak Graphs
In diffusion social learning over weaklyconnected graphs, it has been s...
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Efficient VarianceReduced Learning for Fully Decentralized OnDevice Intelligence
This work develops a fully decentralized variancereduced learning algor...
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Convergence of VarianceReduced Stochastic Learning under Random Reshuffling
Several useful variancereduced stochastic gradient algorithms, such as ...
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Performance Limits of Stochastic SubGradient Learning, Part II: MultiAgent Case
The analysis in Part I revealed interesting properties for subgradient l...
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On the Influence of Momentum Acceleration on Online Learning
The article examines in some detail the convergence rate and meansquare...
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Online Dual Coordinate Ascent Learning
The stochastic dual coordinateascent (SDCA) technique is a useful alte...
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Performance Limits of Stochastic SubGradient Learning, Part I: Single Agent Case
In this work and the supporting Part II, we examine the performance of s...
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Bicheng Ying
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