add_filter("xmlrpc_enabled", "__return_false"); Accepted Paper at ICRA 2025, DATE 2025 – CELL @ DGIST

Accepted Paper at ICRA 2025, DATE 2025

3 papers accepted: Reserach on a dynamic-encoding, oversampling HD federated learning framework for mobile robots (ICRA 2025); an HD framework designed with fine-grained feature encoding and a robust training scheme to effectively capture complex data patterns(DATE 2025); and a dynamic pruning framework for large language models enabling real-time adaptation with competitive accuracy and improved efficiency (DATE 2025).

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