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Muhammad Anwar Ma'sum

2 accepted papers

2025

Federated Few-Shot Class-Incremental Learning

ICLR 2025poster

This study proposes a challenging yet practical Federated Few-Shot Class-Incremental Learning (FFSCIL) problem, where clients only hold very few samples for new classes. We develop a novel Unified Optimized Prototype Prompt (UOPP) model to simultaneously handle catastrophic forgetting, over-fitting…

2025

Vision and Language Synergy for Rehearsal Free Continual Learning

ICLR 2025poster

The prompt-based approach has demonstrated its success for continual learning problems. However, it still suffers from catastrophic forgetting due to inter-task vector similarity and unfitted new components of previously learned tasks. On the other hand, the language-guided approach falls short of i…