FedSA: A staleness-aware asynchronous Federated Learning algorithm with non-IID data

Ming Chen; Bingcheng Mao; Tianyi Ma

doi:10.1016/j.future.2021.02.012

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FedSA: A staleness-aware asynchronous Federated Learning algorithm with non-IID data

Ming Chen Bingcheng Mao Tianyi Ma

Year: 2021 Journal: Future Generation Computer Systems Vol: 120 Pages: 1-12 Publisher: Elsevier BV

DOI: 10.1016/j.future.2021.02.012

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Keywords:

Computer science Asynchronous communication Key (lock) Federated learning Independent and identically distributed random variables Hyperparameter Overhead (engineering) Robustness (evolution) Asynchrony (computer programming) Algorithm Machine learning Artificial intelligence Distributed computing Random variable

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FedSA: A staleness-aware asynchronous Federated Learning algorithm with non-IID data

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