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CE-Fed: Communication efficient multi-party computation enabled federated learning

https://doi.org/10.1016/j.array.2022.100207

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What this work says

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Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning

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MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling

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25th Annual Symposium on Foundations of Computer Science

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Membership Inference Attacks Against Machine Learning Models

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Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent

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What points at this work

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