Low-resolution data improves high-resolution model performance when high-resolution samples are limited, via KL-divergence bounds and experiments on vision transformers and CNNs.
ArXiv abs/2303.10837 (2023)
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A threshold CKKS-based federated framework for Kaplan-Meier curves that aggregates encrypted per-time-point counts and matches centralized results while blocking reconstruction attacks.
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On What We Can Learn from Low-Resolution Data
Low-resolution data improves high-resolution model performance when high-resolution samples are limited, via KL-divergence bounds and experiments on vision transformers and CNNs.
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A Multiparty Homomorphic Encryption Approach to Confidential Federated Kaplan Meier Survival Analysis
A threshold CKKS-based federated framework for Kaplan-Meier curves that aggregates encrypted per-time-point counts and matches centralized results while blocking reconstruction attacks.