Sajjad Ghiasvand

According to our database, Sajjad Ghiasvand authored at least 9 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

REALM: Reliable Expertise-Aware Language Model Fine-Tuning from Noisy Annotations.

Sajjad Ghiasvand, Mark Beliaev, Mahnoosh Alizadeh, Ramtin Pedarsani

CoRR, April, 2026

MMLoP: Multi-Modal Low-Rank Prompting for Efficient Vision-Language Adaptation.

Sajjad Ghiasvand, Haniyeh Ehsani Oskouie, Mahnoosh Alizadeh, Ramtin Pedarsani

CoRR, February, 2026

2025

MI-to-Mid Distilled Compression (M2M-DC): An Hybrid-Information-Guided-Block Pruning with Progressive Inner Slicing Approach to Model Compression.

Lionel M. Levine, Sajjad Ghiasvand, Haniyeh Ehsani Oskouie, Majid Sarrafzadeh

CoRR, November, 2025

pFedMMA: Personalized Federated Fine-Tuning with Multi-Modal Adapter for Vision-Language Models.

Sajjad Ghiasvand, Mahnoosh Alizadeh, Ramtin Pedarsani

CoRR, July, 2025

Few-Shot Adversarial Low-Rank Fine-Tuning of Vision-Language Models.

Sajjad Ghiasvand, Haniyeh Ehsani Oskouie, Mahnoosh Alizadeh, Ramtin Pedarsani

CoRR, May, 2025

Decentralized Low-Rank Fine-Tuning of Large Language Models.

Sajjad Ghiasvand, Mahnoosh Alizadeh, Ramtin Pedarsani

CoRR, January, 2025

Robust Decentralized Learning With Local Updates and Gradient Tracking.

Sajjad Ghiasvand, Amirhossein Reisizadeh, Mahnoosh Alizadeh, Ramtin Pedarsani

IEEE Trans. Netw., 2025

Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models.

Sajjad Ghiasvand, Yifan Yang, Zhiyu Xue, Mahnoosh Alizadeh, Zheng Zhang, Ramtin Pedarsani

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Communication-efficient and Decentralized Federated Minimax Optimization.

Sajjad Ghiasvand, Amirhossein Reisizadeh, Mahnoosh Alizadeh, Ramtin Pedarsani

Proceedings of the 60th Annual Allerton Conference on Communication, 2024