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Risk-aware reinforcement learning through optimal trans- port theory

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Geometry-Aware Decentralized Sinkhorn for Wasserstein Barycenters

eess.SY · 2025-09-18 · unverdicted · novelty 7.0

A decentralized Sinkhorn algorithm approximates Wasserstein barycenters using local gossip protocols, event-triggered transmissions, and b-bit quantization, with proven convergence to a neighborhood of the centralized entropic solution under mild assumptions.

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  • Geometry-Aware Decentralized Sinkhorn for Wasserstein Barycenters eess.SY · 2025-09-18 · unverdicted · none · ref 23

    A decentralized Sinkhorn algorithm approximates Wasserstein barycenters using local gossip protocols, event-triggered transmissions, and b-bit quantization, with proven convergence to a neighborhood of the centralized entropic solution under mild assumptions.