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 Statistical Learning




6454dcd80b5373daaa97e53ce32c78a1-Paper-Conference.pdf

Neural Information Processing Systems

Wepropose twoinnovativealgorithms, DP-GLMtron and DP-TAGLMtron, that outperform the conventional DPSGD. Inlight ofthevast quantities of personal and sensitiveinformation involved, traditional methods of ensuring privacy are encountering significant challenges.








Federated Multi-Objective Learning

Neural Information Processing Systems

In recent years, multi-objective optimization (MOO) emerges as a foundational problem underpinning many multi-agent multi-task learning applications.