Riccardo Salami

12 papers A* 1Misc 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dataless Weight Disentanglement in Task Arithmetic via Kronecker-Factored Approximate Curvature.
CoRR
Angelo Porrello, Pietro Buzzega, Felix Dangel, Thomas Sommariva, Riccardo Salami, Lorenzo Bonicelli, Simone Calderara
2026 J jnl
STAER: Temporal Aligned Rehearsal for Continual Spiking Neural Network.
CoRR
Matteo Gianferrari, Omayma Moussadek, Riccardo Salami, Cosimo Fiorini, Lorenzo Tartarini, Daniela Gandolfi, Simone Calderara
2025 A* conf
Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning.
ICLR
Riccardo Salami, Pietro Buzzega, Matteo Mosconi, Jacopo Bonato, Luigi Sabetta, Simone Calderara
2025 — conf
DOLFIN: Balancing Stability and Plasticity in Federated Continual Learning.
ICIAP (Workshops 2)
Omayma Moussadek, Riccardo Salami, Simone Calderara
2025 J jnl
DOLFIN: Balancing Stability and Plasticity in Federated Continual Learning.
CoRR
Omayma Moussadek, Riccardo Salami, Simone Calderara
2025 Misc conf
Intrinsic Training Signals for Federated Learning Aggregation.
ICIAP
Cosimo Fiorini, Matteo Mosconi, Pietro Buzzega, Riccardo Salami, Simone Calderara
2025 J jnl
Intrinsic Training Signals for Federated Learning Aggregation.
CoRR
Cosimo Fiorini, Matteo Mosconi, Pietro Buzzega, Riccardo Salami, Simone Calderara
2025 J jnl
Rethinking Layer-wise Model Merging through Chain of Merges.
CoRR
Pietro Buzzega, Riccardo Salami, Angelo Porrello, Simone Calderara
2025 — conf
Towards Robust Knowledge Removal in Federated Learning with High Data Heterogeneity.
ICIAP (Workshops 2)
Riccardo Santi, Riccardo Salami, Simone Calderara
2025 J jnl
Towards Robust Knowledge Removal in Federated Learning with High Data Heterogeneity.
CoRR
Riccardo Santi, Riccardo Salami, Simone Calderara
2024 J jnl
Closed-form merging of parameter-efficient modules for Federated Continual Learning.
CoRR
Riccardo Salami, Pietro Buzzega, Matteo Mosconi, Jacopo Bonato, Luigi Sabetta, Simone Calderara
2024 J jnl
Reducing Bias in Federated Class-Incremental Learning with Hierarchical Generative Prototypes.
CoRR
Riccardo Salami, Pietro Buzzega, Matteo Mosconi, Mattia Verasani, Simone Calderara