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- W3104258082 abstract "We consider aggregative games with affine coupling constraints, where agents have partial information on the aggregate value and can only communicate with neighbouring agents. We propose a single-layer distributed algorithm that reaches a variational generalized Nash equilibrium, under constant step sizes. The algorithm works on a single timescale, i.e., does not require multiple communication rounds between agents before updating their action. The convergence proof leverages an invariance property of the aggregate estimates and relies on a forward-backward splitting for two preconditioned operators and their restricted (strong) monotonicity properties on the consensus subspace." @default.
- W3104258082 created "2020-11-23" @default.
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- W3104258082 date "2021-07-01" @default.
- W3104258082 modified "2023-10-16" @default.
- W3104258082 title "Single-Timescale Distributed GNE Seeking for Aggregative Games Over Networks via Forward–Backward Operator Splitting" @default.
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- W3104258082 doi "https://doi.org/10.1109/tac.2020.3015354" @default.
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