Provably Efficient Federated Reinforcement Learning with Linear Function Approximation and Logarithmic Communication Cost
arXiv 2609.00193•5431d0a9ad14a1dee58da65514df5295edc624f6bcdeda8d7f8cff11184617b5
LLM-auditingMCMCacademic-researchartificial-intelligencediffusion-modelsfederated-learninggenerative-data-augmentationmachine-learningoptimizationreinforcement-learningstatistical-learningtime-series-analysis
Paper metadata
- arXiv ID
- 2609.00193
- Version
- Not specified by this published record
- Category
- Statistics — Machine Learning (stat.ML)
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Evidence and limitations
- Source ID
- arxiv_stat_ml
- Record identifier
- 5431d0a9ad14a1dee58da65514df5295edc624f6bcdeda8d7f8cff11184617b5
- Enrichment time
- 2026-09-02T07:23:51Z
- AI-assisted enrichment
- Yes
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