Salman Avestimehr
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
56
Venues
26
Active years
2005–2026
Best venue rank
A*
Where they publish
- BISIT7 papers
- MulticonferenceICASSP7 papers
- A*CVPR5 papers
- A*ACL4 papers
- A*EMNLP4 papers
- A*KDD4 papers
- ANAACL4 papers
- A*AAAI2 papers
- ACIKM2 papers
- CISCAS1 paper
- A*ICDM1 paper
- BNOSSDAV1 paper
- ASDM1 paper
- A*ECCV1 paper
- A*ICLR1 paper
- A*SP1 paper
- CICVS1 paper
- CICMLA1 paper
- A*ICML1 paper
- UnrankedSENSYS1 paper
- UnrankedUCC1 paper
- AFC1 paper
- AICDCS1 paper
- A*PODC1 paper
- ASC1 paper
- BGLOBECOM1 paper
Papers
56 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation. | Sungmin Kang, Jisoo Kim, Salman Avestimehr, Sunwoo Lee |
| 2026 | ISCAS | EM-Aware Physical Synthesis: Neural Inductor Modeling and Intelligent Placement & Routing for RF Circuits. | Yilun Huang, Asal Mehradfar, Salman Avestimehr, Hamidreza Aghasi |
| 2025 | ACL | Reconsidering LLM Uncertainty Estimation Methods in the Wild. | Yavuz Faruk Bakman, Duygu Nur Yaldiz, Sungmin Kang, Tuo Zhang, Baturalp Buyukates, Salman Avestimehr, Sai Praneeth Karimireddy |
| 2025 | ACL | Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art Understanding. | Tuo Zhang, Tiantian Feng, Yibin Ni, Mengqin Cao, Ruying Liu, Kiana Avestimehr, Katharine Butler, Yanjun Weng, Mi Zhang, Shrikanth Narayanan, Salman Avestimehr |
| 2025 | CVPR | HARMONY: Hidden Activation Representations and Model Output-Aware Uncertainty Estimation for Vision-Language Models. | Erum Mushtaq, Zalan Fabian, Yavuz Faruk Bakman, Anil Ramakrishna, Mahdi Soltanolkotabi, Salman Avestimehr |
| 2025 | CVPR | GPT-FL: Generative Pre-trained Model-Assisted Federated Learning. | Tuo Zhang, Tiantian Feng, Samiul Alam, Dimitrios Dimitriadis, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr |
| 2025 | EMNLP | MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines. | Lei Gao, Amir Ziashahabi, Yue Niu, Salman Avestimehr, Murali Annavaram |
| 2025 | EMNLP | TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs. | Duygu Nur Yaldiz, Yavuz Faruk Bakman, Sungmin Kang, Alperen zis, Hayrettin Eren Yildiz, Mitash Ashish Shah, Zhiqi Huang, Anoop Kumar, Alfy Samuel, Daben Liu, Sai Praneeth Karimireddy, Salman Avestimehr |
| 2025 | ICDM | GeoToken: Hierarchical Geolocalization of Images via Next Token Prediction. | Narges Ghasemi, Amir Ziashahabi, Salman Avestimehr, Cyrus Shahabi |
| 2025 | KDD | FedKDD 2025: The 2025 International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. | Carl Yang, Guancheng Wan, Zhuangdi Zhu, Zheng Xu, Junyuan Hong, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou |
| 2025 | NAACL | Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs. | Duygu Nur Yaldiz, Yavuz Faruk Bakman, Baturalp Buyukates, Chenyang Tao, Anil Ramakrishna, Dimitrios Dimitriadis, Jieyu Zhao, Salman Avestimehr |
| 2025 | NOSSDAV | ModalityMirror: Enhancing Audio Classification in Modality Heterogeneity Federated Learning via Multimodal Distillation. | Tiantian Feng, Tuo Zhang, Salman Avestimehr, Shrikanth Narayanan |
| 2025 | SDM | FedGrAINS: Personalized SubGraph Federated Learning with AdaptIve Neighbor Sampling. | Emir Ceyani, Han Xie, Baturalp Buyukates, Carl Yang, Salman Avestimehr |
| 2024 | ACL | MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs. | Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr |
| 2024 | ACL | Revisiting OPRO: The Limitations of Small-Scale LLMs as Optimizers. | Tuo Zhang, Jinyue Yuan, Salman Avestimehr |
| 2024 | CVPR | All Rivers Run to the Sea: Private Learning with Asymmetric Flows. | Yue Niu, Ramy E. Ali, Saurav Prakash, Salman Avestimehr |
| 2024 | ECCV | CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning. | Erum Mushtaq, Duygu Nur Yaldiz, Yavuz Faruk Bakman, Jie Ding, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr |
| 2024 | EMNLP | TensorOpera Router: A Multi-Model Router for Efficient LLM Inference. | Dimitris Stripelis, Zhaozhuo Xu, Zijian Hu, Alay Dilipbhai Shah, Han Jin, Yuhang Yao, Jipeng Zhang, Tong Zhang, Salman Avestimehr, Chaoyang He |
| 2024 | EMNLP | ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency. | Yuhang Yao, Han Jin, Alay Dilipbhai Shah, Shanshan Han, Zijian Hu, Dimitris Stripelis, Yide Ran, Zhaozhuo Xu, Salman Avestimehr, Chaoyang He |
| 2024 | ICLR | Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning. | Yavuz Faruk Bakman, Duygu Nur Yaldiz, Yahya H. Ezzeldin, Salman Avestimehr |
| 2024 | ISIT | Predicting Uncertainty of Generative LLMs with MARS: Meaning-Aware Response Scoring. | Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Salman Avestimehr, Chenyang Tao, Dimitrios Dimitriadis |
| 2024 | ISIT | Frequency Domain Diffusion Model with Scale-Dependent Noise Schedule. | Amir Ziashahabi, Baturalp Buyukates, Artan Sheshmani, Yi-Zhuang You, Salman Avestimehr |
| 2024 | KDD | FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. | Shanshan Han, Baturalp Buyukates, Zijian Hu, Han Jin, Weizhao Jin, Lichao Sun, Xiaoyang Wang, Wenxuan Wu, Chulin Xie, Yuhang Yao, Kai Zhang, Qifan Zhang, Yuhui Zhang, Carlee Joe-Wong, Salman Avestimehr, Chaoyang He |
| 2024 | KDD | FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. | Junyuan Hong, Carl Yang, Zhuangdi Zhu, Zheng Xu, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou |
| 2024 | NAACL | Ethos: Rectifying Language Models in Orthogonal Parameter Space. | Lei Gao, Yue Niu, Tingting Tang, Salman Avestimehr, Murali Annavaram |
| 2024 | SP | Loki: Large-scale Data Reconstruction Attack against Federated Learning through Model Manipulation. | Joshua C. Zhao, Atul Sharma, Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Salman Avestimehr, Saurabh Bagchi |
| 2023 | CVPR | TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training. | Tuo Zhang, Lei Gao, Sunwoo Lee, Mi Zhang, Salman Avestimehr |
| 2023 | CVPR | The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning. | Joshua C. Zhao, Ahmed Roushdy Elkordy, Atul Sharma, Yahya H. Ezzeldin, Salman Avestimehr, Saurabh Bagchi |
| 2023 | ICASSP | Quantifying Catastrophic Forgetting in Continual Federated Learning. | Christophe Dupuy, Jimit Majmudar, Jixuan Wang, Tanya G. Roosta, Rahul Gupta, Clement Chung, Jie Ding, Salman Avestimehr |
| 2023 | ICASSP | FedAudio: A Federated Learning Benchmark for Audio Tasks. | Tuo Zhang, Tiantian Feng, Samiul Alam, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr |
| 2023 | ICVS | Performance and Failure Cause Estimation for Machine Learning Systems in the Wild. | Xiruo Liu, Furqan Khan, Yue Niu, Pradeep Natarajan, Rinat Khaziev, Salman Avestimehr, Prateek Singhal |
| 2023 | KDD | FedMultimodal: A Benchmark for Multimodal Federated Learning. | Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan |
| 2022 | AAAI | SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data. | Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr |
| 2022 | CIKM | Federated K-Private Set Intersection. | Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Salman Avestimehr |
| 2022 | CIKM | The 1st International Workshop on Federated Learning with Graph Data (FedGraph). | Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr |
| 2022 | ICASSP | Federated Learning Challenges and Opportunities: An Outlook. | Jie Ding, Eric W. Tramel, Anit Kumar Sahu, Shuang Wu, Salman Avestimehr, Tao Zhang |
| 2022 | ICASSP | Learnings from Federated Learning in The Real World. | Christophe Dupuy, Tanya G. Roosta, Leo Long, Clement Chung, Rahul Gupta, Salman Avestimehr |
| 2022 | ICASSP | On The Effectiveness of Active Learning by Uncertainty Sampling in Classification of High-Dimensional Gaussian Mixture Data. | Xiaoyi Mai, Salman Avestimehr, Antonio Ortega, Mahdi Soltanolkotabi |
| 2022 | ICMLA | What If Kidney Tumor Segmentation Challenge (KiTS19) Never Happened. | Erum Mushtaq, Jie Ding, Salman Avestimehr |
| 2022 | NAACL | FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks. | Bill Yuchen Lin, Chaoyang He, Zihang Ze, Hulin Wang, Yufen Hua, Christophe Dupuy, Rahul Gupta, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr |
| 2022 | NAACL | Federated Learning with Noisy User Feedback. | Rahul Sharma, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta |
| 2021 | ICML | PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. | Chaoyang He, Shen Li, Mahdi Soltanolkotabi, Salman Avestimehr |
| 2021 | SENSYS | Federated Learning for Internet of Things. | Tuo Zhang, Chaoyang He, Tianhao Ma, Lei Gao, Mark Ma, Salman Avestimehr |
| 2021 | UCC | Jupiter: a networked computing architecture. | Pradipta Ghosh, Quynh Nguyen, Pranav K. Sakulkar, Jason A. Tran, Aleksandra Knezevic, Jiatong Wang, Zhifeng Lin, Bhaskar Krishnamachari, Murali Annavaram, Salman Avestimehr |
| 2020 | FC | Coded Merkle Tree: Solving Data Availability Attacks in Blockchains. | Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath |
| 2020 | ICDCS | Collage Inference: Using Coded Redundancy for Lowering Latency Variation in Distributed Image Classification Systems. | Hema Venkata Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram |
| 2020 | ISIT | Interactive Verifiable Polynomial Evaluation. | Saeid Sahraei, Mohammad Ali Maddah-Ali, Salman Avestimehr |
| 2019 | ISIT | Download and Access Trade-offs in Lagrange Coded Computing. | Netanel Raviv, Qian Yu, Jehoshua Bruck, Salman Avestimehr |
| 2019 | PODC | Coded State Machine - Scaling State Machine Execution under Byzantine Faults. | Songze Li, Saeid Sahraei, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath |
| 2019 | SC | Slack squeeze coded computing for adaptive straggler mitigation. | Krishna Giri Narra, Zhifeng Lin, Mehrdad Kiamari, Salman Avestimehr, Murali Annavaram |
| 2018 | ICASSP | Distributed Solution of Large-Scale Linear Systems Via Accelerated Projection-Based Consensus. | Navid Azizan Ruhi, Farshad Lahouti, Salman Avestimehr, Babak Hassibi |
| 2017 | ISIT | Coded computation over heterogeneous clusters. | Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Salman Avestimehr |
| 2016 | ISIT | Active learning for community detection in stochastic block models. | Akshay Gadde, Eyal En Gad, Salman Avestimehr, Antonio Ortega |
| 2015 | ICASSP | Asymptotic justification of bandlimited interpolation of graph signals for semi-supervised learning. | Aamir Anis, Aly El Gamal, Salman Avestimehr, Antonio Ortega |
| 2013 | GLOBECOM | A latent social approach to YouTube popularity prediction. | Amandianeze O. Nwana, Salman Avestimehr, Tsuhan Chen |
| 2005 | ISIT | Anytime communication over the Gilbert-Eliot channel with noiseless feedback. | Anant Sahai, Salman Avestimehr, Paolo Minero |