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Topic:
Adaptation and Learning
ADAPTATION AND LEARNING
Second-order guarantees of stochastic gradient descent in non-convex optimization,
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Regularized diffusion adaptation via conjugate smoothing,
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Adaptive social learning
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Convex combination of diffusion strategies over networks
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Decentralized proximal gradient algorithms with linear convergence rates
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Decision learning and adaptation over multi-task networks
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Graph learning under partial observability
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Second-order guarantees in centralized, federated and decentralized nonconvex optimization
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A proximal diffusion strategy for multi-agent optimization with sparse affine constraints
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Diffusion LMS with communication delays: Stability and performance analysis
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