Author

Pietro Zanuttigh

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Preprint Sep 2026

DR.WILSS: Diffusion-Based Replay for Weakly Supervised Continual Semantic Segmentation

This work introduces DR.WILSS, an innovative approach to address catastrophic forgetting in continual learning using diffusion-based generative replay, which leverages language clues to guide the diffusion process, employing self-inpainting and regularization techniques to efficiently produce replay data, aiding the le...

Leon Arthur Marx, Francesco Barbato, Matteo Caligiuri et al. · 0 citations

Aug 2026

EFFEKT: Efficient Federated Knowledge Transfer to Foundation Models

This work introduces a novel multi-domain federated learning framework in which lightweight client-side proxy models collaborate with a server-side Foundation Model (FM) to learn new concepts without sharing private data.

Matteo Caligiuri, Francesco Barbato, Pietro Zanuttigh et al. · Trans. Mach. Learn. Res. · 0 citations

Preprint Aug 2026

TASSO: TAsk-Specific Subspace Optimization for Continual Learning of Vision-Language Models

TASSO, a new paradigm that efficiently preserves the latent space geometry while ensuring network plasticity, is introduced with two complementary techniques: subspace learning and geometry-aware knowledge distillation.

Chang-Ming Sun, Francesco Barbato, Matteo Caligiuri et al. · 0 citations