Sharp Bounds for Sequential Federated Learning on Heterogeneous Data

Subjects: “…Artificial Intelligence & Machine Learning…”
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Application of multimodal machine learning in building ecological assessment

Subjects: “…— — — — — Access Artificial Intelligence and Machine Learning…”
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Enhancing Graph Representation Learning with Localized Topological Features

Subjects: “…Artificial Intelligence & Machine Learning…”
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Learning Models and Modalities to Build Data Equity Competencies

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Decoupling in AI ethics: Learning how to walk the talk

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Learning the bistable cortical dynamics of the sleep-onset period

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Mapping the Phase Diagram of the Vicsek Model with Machine Learning

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Linear Separation Capacity of Self-Supervised Representation Learning

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Learning with Linear Function Approximations in Mean-Field Control

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Learning Sparse BRDF Measurement Samples from Image

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MUSIC: Learning Muscle-Driven Dexterous Hand Control

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Rethinking Agentic Reinforcement Learning In Large Language Models

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Data-Driven Performance Guarantees for Classical and Learned Optimizers

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Evaluating Tabular Representation Learning for Network Intrusion Detection

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Sharp Bounds for Sequential Federated Learning on Heterogeneous Data

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Building AI Companions that Prioritise Learning over Performance

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Knowledge-Free Correlated Agreement for Incentivizing Federated Learning

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Reinforcement Learning for Compositional Generalization with Outcome-Level Optimization

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Cross-Modal Navigation with Multi-Agent Reinforcement Learning

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PREFER: Personalized Review Summarization with Online Preference Learning

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