Online Learning of Time-Varying Unbalanced Networks in Non-Convex Environments: A Multi-Armed Bandit Approach
This study discusses how agents in a time-varying distributed network can converge to the global minimizer of a time-varying graph network. Each agent knows only the local loss of its observation and must cooperate constructively with other agents to find the global minimizer of the network. Unlike...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10041910/ |