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On Distributed Averaging for Stochastic k-PCA
Aditya Bhaskara, Pruthuvi Maheshakya Wijewardena
Neural Information Processing Systems http://nips.cc/
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FastFederatedLearninginthePresenceof ArbitraryDeviceUnavailability
Federated Learning (FL) coordinates with numerous heterogeneous devices to collaboratively train a shared model while preserving user privacy.
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DifferentiallyPrivateFederatedBayesian OptimizationwithDistributedExploration
Unfortunately,FTS[12] is not amenable to a straightforward integration of the general DP framework [45] (Sec.
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13d63838ef1fb6f34ca2dc6821c60e49-Paper.pdf
Consequently,convergenceproofsare more challenging and require aprecise control ofthis perturbation.
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