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Integration of federated learning with IoT for smart cities applications, challenges, and solutions

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Delay prediction in IoT using Machine Learning Approach

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Federated Deep Reinforcement Learning for Internet of Things With Decentralized Cooperative Edge Caching

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inferredcites →https://doi.org/10.1109/mc.2018.2381119openalex-snapshot

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inferredcites →https://doi.org/10.1109/mnet.101.2100125openalex-snapshot

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inferredcites →https://doi.org/10.1145/3297858.3304011openalex-snapshot

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inferredcites →https://doi.org/10.3390/fi14090246openalex-snapshot

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inferredcites →https://doi.org/10.48550/arxiv.1911.00623openalex-snapshot

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inferredcites →https://doi.org/10.48550/arxiv.2003.02133openalex-snapshot

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inferredcites →https://doi.org/10.48550/arxiv.2004.14850openalex-snapshot

6G White Paper on Edge Intelligence

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