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Distributed Learning as a Service: The Developer's Perspective
and-cluster-computingc-2-4distributedi-2-11i-2-6machine-learningnetworking-and-internet-architectureparallel
Application developers of distributed learning services face challenges that a typical federated learning loop does not address. Specifically, the model updates can still leak private data, devices might not be able to participate in the training due to limited resources, a single aggregator might n
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