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ORCIDSajjad Ghiasvand
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2020 – today
- 2026
[i7]Sajjad Ghiasvand, Haniyeh Ehsani Oskouie, Mahnoosh Alizadeh, Ramtin Pedarsani:
MMLoP: Multi-Modal Low-Rank Prompting for Efficient Vision-Language Adaptation. CoRR abs/2602.21397 (2026)- 2025
- [j1]Sajjad Ghiasvand
, Amirhossein Reisizadeh, Mahnoosh Alizadeh, Ramtin Pedarsani:
Robust Decentralized Learning With Local Updates and Gradient Tracking. IEEE Trans. Netw. 33(4): 2036-2048 (2025) - [c2]Sajjad Ghiasvand, Yifan Yang, Zhiyu Xue, Mahnoosh Alizadeh, Zheng Zhang, Ramtin Pedarsani:
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models. ACL (Findings) 2025: 24192-24207 - [i6]Sajjad Ghiasvand, Mahnoosh Alizadeh, Ramtin Pedarsani:
Decentralized Low-Rank Fine-Tuning of Large Language Models. CoRR abs/2501.15361 (2025) - [i5]Sajjad Ghiasvand, Haniyeh Ehsani Oskouie, Mahnoosh Alizadeh, Ramtin Pedarsani:
Few-Shot Adversarial Low-Rank Fine-Tuning of Vision-Language Models. CoRR abs/2505.15130 (2025) - [i4]Sajjad Ghiasvand, Mahnoosh Alizadeh, Ramtin Pedarsani:
pFedMMA: Personalized Federated Fine-Tuning with Multi-Modal Adapter for Vision-Language Models. CoRR abs/2507.05394 (2025) - [i3]Lionel M. Levine, Sajjad Ghiasvand, Haniyeh Ehsani Oskouie, Majid Sarrafzadeh:
MI-to-Mid Distilled Compression (M2M-DC): An Hybrid-Information-Guided-Block Pruning with Progressive Inner Slicing Approach to Model Compression. CoRR abs/2511.06842 (2025) - 2024
- [c1]Sajjad Ghiasvand, Amirhossein Reisizadeh, Mahnoosh Alizadeh, Ramtin Pedarsani:
Communication-efficient and Decentralized Federated Minimax Optimization. Allerton 2024: 1-7 - [i2]Sajjad Ghiasvand, Amirhossein Reisizadeh, Mahnoosh Alizadeh, Ramtin Pedarsani:
Robust Decentralized Learning with Local Updates and Gradient Tracking. CoRR abs/2405.00965 (2024) - [i1]Sajjad Ghiasvand, Yifan Yang, Zhiyu Xue, Mahnoosh Alizadeh, Zheng Zhang, Ramtin Pedarsani:
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models. CoRR abs/2410.13097 (2024)
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