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Smith, Virginia

  1. Federated Optimization in Heterogeneous Networks
    2018/12/14 by Li, Tian, Sahu, Anit Kumar, Zaheer, Manzil +3 · 247 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  2. LEAF: A Benchmark for Federated Settings
    2018/12/03 by Sebastian Caldas, Caldas, Sebastian, Peter Wu +12 · 68 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
  3. Ditto: Fair and Robust Federated Learning Through Personalization
    2020/12/08 by Tian Li, Shengyuan Hu, Li, Tian +5 · 51 citations
    Computer Science · #Cryptography and Data Security #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  4. Federated Multi-Task Learning
    2017/05/30 by Smith, Virginia, Chiang, Chao-Kai, Sanjabi, Maziar +1 · 30 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. Fair Resource Allocation in Federated Learning
    2019/05/25 by Li Tian, Li, Tian, Maziar Sanjabi +5 · 21 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  6. A Field Guide to Federated Optimization
    2021/07/14 by Jianyu Wang, Zachary Charles, Wang, Jianyu +103 · 15 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  7. RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold
    2024/06/20 by Amrith Setlur, Saurabh K. Garg†, Setlur, Amrith +9 · 21 citations
    Computer Science · #Educational Technology and Assessment
  8. A Kernel Theory of Modern Data Augmentation
    2018/03/16 by Dao, Tri, Gu, Albert, Ratner, Alexander J. +3 · 7 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  9. One-Shot Federated Learning
    2019/02/28 by Neel Guha, Guha, Neel, Ameet Talwalkar +3 · 11 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  10. Tilted Empirical Risk Minimization
    2020/07/02 by Li, Tian, Beirami, Ahmad, Sanjabi, Maziar +1 · 7 citations
    #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  11. Guardrail Baselines for Unlearning in LLMs
    2024/03/05 by Thaker, Pratiksha, Maurya, Yash, Hu, Shengyuan +2 · 13 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  12. Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning
    2024/06/19 by Shengyuan Hu, Yiwei Fu, Hu, Shengyuan +5 · 12 citations
    Engineering · Neuroscience · #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Fire Detection and Safety Systems #Machine Learning (cs.LG)
  13. On Tilted Losses in Machine Learning: Theory and Applications
    2021/09/13 by Li Tian, Ahmad Beirami, Li, Tian +5 · 6 citations
    Computer Science · Decision Sciences · Mathematics · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Risk and Portfolio Optimization #Statistical Methods and Inference
  14. CoCoA: A General Framework for Communication-Efficient Distributed Optimization
    2016/11/07 by Virginia Smith, Smith, Virginia, Simone Forte +9 · 5 citations
    Computer Science · #Complexity and Algorithms in Graphs #FOS: Computer and information sciences #Machine Learning (cs.LG) #Optimization and Search Problems #Stochastic Gradient Optimization Techniques
  15. Validating Large Language Models with ReLM
    2022/11/21 by Michael Kuchnik, Kuchnik, Michael, Virginia Smith +3 · 6 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Text Readability and Simplification
  16. On Privacy and Personalization in Cross-Silo Federated Learning
    2022/06/16 by Ziyu Liu, Shengyuan Hu, Liu, Ziyu +5 · 6 citations
    Computer Science · #Privacy-Preserving Technologies in Data
  17. No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices
    2024/02/25 by Pang, Qi, Hu, Shengyuan, Zheng, Wenting +1 · 8 citations
    #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  18. Label Leakage and Protection in Two-party Split Learning
    2021/02/17 by Li, Oscar, Sun, Jiankai, Yang, Xin +5 · 4 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  19. e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs
    2025/06/10 by Setlur, Amrith, Yang, Matthew Y. R., Snell, Charlie +5 · 21 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  20. Position: LLM Unlearning Benchmarks are Weak Measures of Progress
    2024/10/03 by Pratiksha Thaker, Thaker, Pratiksha, Shengyuan Hu +9 · 8 citations
    Business, Management and Accounting · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Taxation and Legal Issues
  21. Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes
    2024/02/08 by Dery, Lucio, Kolawole, Steven, Kagy, Jean-François +3 · 6 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  22. Privacy for Free: Communication-Efficient Learning with Differential Privacy Using Sketches
    2019/11/03 by Li, Tian, Liu, Zaoxing, Sekar, Vyas +1 · 3 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  23. Private Adaptive Optimization with Side Information
    2022/02/12 by Tian Li, Li, Tian, Manzil Zaheer +5 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  24. Plumber: Diagnosing and Removing Performance Bottlenecks in Machine Learning Data Pipelines
    2021/11/07 by Kuchnik, Michael, Klimovic, Ana, Simsa, Jiri +2 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Performance (cs.PF)
  25. Motley: Benchmarking Heterogeneity and Personalization in Federated Learning
    2022/06/18 by Shanshan Wu, Wu, Shanshan, Tian Li +11 · 3 citations
    Computer Science · #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
  26. FedDANE: A Federated Newton-Type Method
    2020/01/07 by Li, Tian, Sahu, Anit Kumar, Zaheer, Manzil +3 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  27. On Large-Cohort Training for Federated Learning
    2021/06/15 by Zachary Charles, Charles, Zachary, Zachary Garrett +7 · 3 citations
    Computer Science · Decision Sciences · #Data Quality and Management #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  28. Grass: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients
    2024/06/25 by Aashiq Muhamed, Oscar Li, Muhamed, Aashiq +7 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Machine Learning and Algorithms #Neural Networks and Applications
  29. Federated LoRA with Sparse Communication
    2024/06/07 by Kevin Kuo, Kuo, Kevin, Arian Raje +5 · 4 citations
    Computer Science · Engineering · #Distributed #FOS: Computer and information sciences #Indoor and Outdoor Localization Technologies #IoT Networks and Protocols #IoT and Edge/Fog Computing #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  30. On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
    2023/12/24 by Thaker, Pratiksha, Setlur, Amrith, Wu, Zhiwei Steven +1 · 3 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  31. SAEs Can Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs
    2025/04/11 by Aashiq Muhamed, Muhamed, Aashiq, Jacopo Bonato +5 · 7 citations
    Engineering · #Medical Imaging and Analysis
  32. Communication-Efficient Distributed Dual Coordinate Ascent
    2014/09/04 by Jaggi, Martin, Smith, Virginia, Takáč, Martin +4 · 1 citation
    #68W15 #90C25 #C.1.4 #FOS: Computer and information sciences #FOS: Mathematics #G.1.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  33. Agreement-Based Cascading for Efficient Inference
    2024/07/02 by Steven Kolawole, Kolawole, Steven, Don Kurian Dennis +5 · 3 citations
    Computer Science · #AI in cancer detection #Neural Networks and Applications #Generative Adversarial Networks and Image Synthesis
  34. Progressive Compressed Records: Taking a Byte out of Deep Learning Data
    2019/11/01 by Kuchnik, Michael, Amvrosiadis, George, Smith, Virginia · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  35. Heterogeneity for the Win: One-Shot Federated Clustering
    2021/03/01 by Don Kurian Dennis, Tian Li, Dennis, Don Kurian +3 · 1 citation
    Computer Science · #Privacy-Preserving Technologies in Data #Internet Traffic Analysis and Secure E-voting #Mobile Crowdsensing and Crowdsourcing
  36. Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution
    2021/02/23 by Amrith Setlur, Oscar Li, Setlur, Amrith +3 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Multimodal Machine Learning Applications
  37. Adversarial Unlearning: Reducing Confidence Along Adversarial Directions
    2022/06/03 by Amrith Setlur, Benjamin Eysenbach, Setlur, Amrith +5 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  38. BLUR: A Benchmark for LLM Unlearning Robust to Forget-Retain Overlap
    2025/05/28 by Hu, Shengyuan, Kale, Neil, Thaker, Pratiksha +3 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Topic Modeling #Explainable Artificial Intelligence (XAI)
  39. NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA
    2024/11/06 by Tobaben, Marlon, Souibgui, Mohamed Ali, Tito, Rubèn +24 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  40. Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models
    2024/11/01 by Muhamed, Aashiq, Diab, Mona, Smith, Virginia · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  41. Exact Unlearning of Finetuning Data via Model Merging at Scale
    2025/04/06 by Kevin Kuo, Kuo, Kevin, Amrith Setlur +6 · 4 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
  42. Differentially Private Adaptive Optimization with Delayed Preconditioners
    2022/12/01 by Li, Tian, Zaheer, Manzil, Liu, Ken Ziyu +3 · 1 citation
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  43. Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies
    2023/04/21 by Li, Oscar, Harrison, James, Sohl-Dickstein, Jascha +2 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  44. Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs
    2025/05/26 by Xiangchen Song, Aashiq Muhamed, Song, Xiangchen +13 · 3 citations
    Arts and Humanities · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Historical Studies in Central America #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  45. Enhancing the Privacy of Federated Learning with Sketching
    2019/11/05 by Zaoxing Liu, Tian Li, Liu, Zaoxing +5 · 1 citation
    Computer Science · Social Sciences · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing #Networking and Internet Architecture (cs.NI) #Privacy, Security, and Data Protection #Privacy-Preserving Technologies in Data
  46. Maximizing Global Model Appeal in Federated Learning
    2022/05/30 by Cho, Yae Jee, Jhunjhunwala, Divyansh, Li, Tian +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  47. RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language Models
    2025/10/12 by Muhamed, Aashiq, Ribeiro, Leonardo F. R., Dreyer, Markus +2 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  48. MLI: An API for Distributed Machine Learning
    2013/10/21 by Evan Sparks, Ameet Talwalkar, Sparks, Evan R. +15 · 1 citation
    Computer Science · #Cloud Computing and Resource Management #Distributed #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Parallel #and Cluster Computing (cs.DC)