For FedZO, our fine-grained analysis fills the theoretical gap on the generalization guarantees and polishes the convergence characterization of the computing ...
Feb 18, 2024 · This paper aims to establish systematic theoretical assessments of FedZO by developing the analysis technique of on-average model stability.
This paper aims to establish systematic theoretical assessments of FedZO by developing the analysis technique of on-average model stability. We establish the ...
Optimal rates for zero-order convex optimization: The power of two function evaluations. IEEE Transactions on. Information Theory, 61(5):2788–2806, 2015. 19.
May 30, 2024 · For FedZO, our fine-grained analysis fills the theoretical gap on the generalization guarantees and polishes the convergence characterization of ...
General Stability Analysis for Zeroth-Order Optimization ... Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization, NeurIPS 2023.
Aug 8, 2023 · We propose the federated zeroth-order optimization using trajectory-informed surrogate gradients (FZooS) algorithm for query- and communication-efficient ...
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Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization, HZAU, NeurIPS, 2023, [PUB] [SUPP]. Navigating Data Heterogeneity in Federated Learning ...
Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization, Huazhong Agricultural University. Guiding The Last Layer in Federated Learning with ...
May 15, 2024 · This work introduces FedKSeed that employs zeroth-order optimization with a finite set of random seeds. It significantly reduces transmission ...