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Topic:
Adaptation and Learning
ADAPTATION AND LEARNING
Social learning under randomized collaborations
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Regularized diffusion adaptation via conjugate smoothing,
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Hidden Markov modeling over graphs
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Optimal combination policies for adaptive social learning
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A fundamental limit of distributed hypothesis testing under memoryless quantization
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Dif-MAML: Decentralized multi-agent meta-learning
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Federated learning under importance sampling
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Second-order guarantees of stochastic gradient descent in non-convex optimization
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Decision-making algorithms for learning and adaptation with application to COVID-19 data
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Dual consensus proximal algorithm for multi-agent sharing problems
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