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Network topology alone can completely compromise secure aggregation in decentralized learning, enabling colluding nodes to crack private weights and extract training data using lattice reduction.
Diffusion Language Models leak less PII than Autoregressive Models, suggesting a potential privacy advantage in generative AI.
