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Topic: Adaptive Networks

ADAPTIVE NETWORKS AND DIFFUSION STRATEGIES

Social learning under randomized collaborations

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Federated learning under importance sampling

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Regularized diffusion adaptation via conjugate smoothing,

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Dif-MAML: Decentralized multi-agent meta-learning

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Dual consensus proximal algorithm for multi-agent sharing problems

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Frequency-domain diffusion adaptation over networks

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Adaptive social learning

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Competing adaptive networks

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Belief control strategies for interactions over weakly-connected graphs

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Decentralized proximal gradient algorithms with linear convergence rates

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ASL

The Adaptive Systems Laboratory at EPFL fosters a rich interdisciplinary research program on the analysis and design of adaptive systems and networks with cognitive and learning abilities.

Find us

Address
EPFL School of Engineering
BM 4102
Station 17
CH-1015 Lausanne
Switzerland

Professor
Ali H. Sayed
email: ali.sayed@epfl.ch
phone: +41 21 693 69 44

Assistant
Patricia Vonlanthen
email: patricia.vonlanthen@epfl.ch
phone: +41 21 693 69 61

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