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Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation., , , , , , , , , and 13 other author(s). CoRR, (2023)Federated Variational Inference: Towards Improved Personalization and Generalization., , , , , and . CoRR, (2023)A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models., , , , , , , , , and 20 other author(s). CoRR, (2024)Augmentations vs Algorithms: What Works in Self-Supervised Learning., , , , , , , , , and 1 other author(s). CoRR, (2024)Federated Training of Dual Encoding Models on Small Non-IID Client Datasets., , , , , , and . CoRR, (2022)Federated Reconstruction: Partially Local Federated Learning., , , , , and . CoRR, (2021)Large Language Models Encode Clinical Knowledge., , , , , , , , , and 20 other author(s). CoRR, (2022)Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout., , , , , and . CoRR, (2023)What Do We Mean by Generalization in Federated Learning?, , , and . CoRR, (2021)A Field Guide to Federated Optimization., , , , , , , , , and 43 other author(s). CoRR, (2021)