Geometry-Aware Federated LoRA
Investigating how low-rank adaptation geometry evolves in federated learning under heterogeneous client distributions.
Federated LearningLoRAOptimization
View projectResearch Projects
Research systems focused on federated learning, personalization, robustness, and reproducible machine learning.
Drift-Aware Adaptive Aggregation
Researching aggregation mechanisms that adapt to update drift, instability, and client divergence in decentralized training.
AggregationRobustnessDistributed ML
View projectPersonalization Depth in Federated Learning
Analyzing how personalization depth influences convergence stability, representation learning, and robustness under heterogeneous federated environments.
PersonalizationFederated LearningRepresentation Learning
View projectReproducible ML Infrastructure
Building clean, modular, and publication-grade ML systems for rigorous experimentation and scalable research workflows.
EngineeringInfrastructureReproducibility
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