2 papers
cs.LG2026
Differentially Private Clustered Federated Learning with Privacy-Preserving Initialization and Normality-Driven Aggregation
Jie Xu, Haaris Mehmood, Rogier Van Dalen +2
Federated learning (FL) enables training of a global model while keeping raw data on end-devices. Despite this, FL has shown to leak private user information and thus in practice,…
cs.CL2026
Decoding Text Spans for Efficient and Accurate Named-Entity Recognition
Andrea Maracani, Savas Ozkan, Junyi Zhu +2
Named Entity Recognition (NER) is a key component in industrial information extraction pipelines, where systems must satisfy strict latency and throughput constraints in addition t…