Projection-Free Methods for Online Distributed Quantized Optimization With Strongly Pseudoconvex Cost Functions
This paper investigates online distributed optimization within multi-agent systems under inequality constraints. Agents are allowed to exchange local data with their immediate neighbors through a time-varying digraph and perform computations, aiming to minimize a collective objective function. Consi...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10947746/ |
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