Amir Ziashahabi

According to our database, Amir Ziashahabi authored at least 10 papers between 2020 and 2026.

Collaborative distances:

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

2026

Understanding Communication Backends in Cross-Silo Federated Learning.

Amir Ziashahabi, Chaoyang He, Salman Avestimehr

CoRR, April, 2026

2025

Reject Only Critical Tokens: Pivot-Aware Speculative Decoding.

Amir Ziashahabi, Yavuz Faruk Bakman, Duygu Nur Yaldiz, Mostafa El-Khamy, Sai Praneeth Karimireddy, Salman Avestimehr

CoRR, November, 2025

OSMGen: Highly Controllable Satellite Image Synthesis using OpenStreetMap Data.

Amir Ziashahabi, Narges Ghasemi, Sajjad Shahabi, John Krumm, Salman Avestimehr, Cyrus Shahabi

CoRR, November, 2025

GeoToken: Hierarchical Geolocalization of Images via Next Token Prediction.

Narges Ghasemi, Amir Ziashahabi, Salman Avestimehr, Cyrus Shahabi

Proceedings of the IEEE International Conference on Data Mining, 2025

MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines.

Lei Gao, Amir Ziashahabi, Yue Niu, Salman Avestimehr, Murali Annavaram

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation.

Hamza Saleem, Amir Ziashahabi, Muhammad Naveed, Salman Avestimehr

Proc. Priv. Enhancing Technol., 2024

Enabling Resource-Efficient On-Device Fine-Tuning of LLMs Using Only Inference Engines.

Lei Gao, Amir Ziashahabi, Yue Niu, Salman Avestimehr, Murali Annavaram

CoRR, 2024

Frequency Domain Diffusion Model with Scale-Dependent Noise Schedule.

Amir Ziashahabi, Baturalp Buyukates, Artan Sheshmani, Yi-Zhuang You, Salman Avestimehr

Proceedings of the IEEE International Symposium on Information Theory, 2024

2023

PyTorch RPC: Distributed Deep Learning Built on Tensor-Optimized Remote Procedure Calls.

Shen Li, Pritam Damania, Luca Wehrstedt, Rohan Varma, Omkar Salpekar, Pavel Belevich, Howard Huang, Yanli Zhao, Lucas Hosseini, Wanchao Liang, Hongyi Jia, Shihao Xu, Satendra Gera, Alisson G. Azzolini, Guoqiang Jerry Chen, Zachary DeVito, Chaoyang He, Amir Ziashahabi, Alban Desmaison, Edward Z. Yang, Gregory Chanan, Brian Vaughan, Manoj Krishnan, Joseph S. Spisak, Salman Avestimehr, Soumith Chintala

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

2020

Bias-Resistant Social News Aggregator Based on Blockchain.

Amir Ziashahabi, Mohammad Ali Maddah-Ali, Abbas Heydarnoori

CoRR, 2020