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Found 8 papers, 1 papers with code
FEDTAIL: Federated Long-Tailed Domain Generalization with Sharpness-Guided Gradient Matching
FedTAIL unifies optimization harmonization, class-aware regularization, and conditional alignment into a scalable, federated-compatible framework.
UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data
Federated Learning (FL) often suffers from severe performance degradation when faced with non-IID data, largely due to local classifier bias.
FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment
Federated Learning (FL) offers a decentralized paradigm for collaborative model training without direct data sharing, yet it poses unique challenges for Domain Generalization (DG), including strict privacy constraints, non-i. i. d.
Sequential Compression Layers for Efficient Federated Learning in Foundational Models
Federated Learning (FL) has gained popularity for fine-tuning large language models (LLMs) across multiple nodes, each with its own private data.
Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance
Long-tailed problems in healthcare emerge from data imbalance due to variability in the prevalence and representation of different medical conditions, warranting the requirement of precise and dependable classification methods.
FedStein: Enhancing Multi-Domain Federated Learning Through James-Stein Estimator
Federated Learning (FL) facilitates data privacy by enabling collaborative in-situ training across decentralized clients.
FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch
We introduce Federated Learning with Enhanced Nesterov-Newton Sketch (FLeNS), a novel method that harnesses both the acceleration capabilities of Nesterov's method and the dimensionality reduction benefits of Hessian sketching.
CCVA-FL: Cross-Client Variations Adaptive Federated Learning for Medical Imaging
Each client then translates its local images into the target image space using image-to-image translation.
