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cs.LG2026
Privacy Evaluation of Generative Models for Trajectory Generation
Stavros Bouras, Ioannis Kontopoulos, Chiara Pugliese +5
Trajectory data is fundamental to modern urban intelligence, yet its sensitivity raises significant privacy concerns. Generative models such as Generative Adversarial Networks, Var…
cs.LG2026
A Comparative Study of Federated Learning Aggregation Strategies under Homogeneous and Heterogeneous Data Distributions
Antonios Makris, Christos Dousis, Emmanouil Kritharakis +2
Federated Learning has emerged as a transformative paradigm for collaborative machine learning across distributed environments. However, its performance is strongly influenced by t…