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Virginia Smith

  1. Federated Learning: Challenges, Methods, and Future Directions
    2020/05/01 by Tian Li, Anit Kumar Sahu, Ameet Talwalkar +1 · 85 citations
    Computer Science · Social Sciences · #Big Data and Digital Economy #Human Mobility and Location-Based Analysis #Privacy-Preserving Technologies in Data
  2. LEAF: A Benchmark for Federated Settings
    2018/12/03 by Sebastian Caldas, Caldas, Sebastian, Peter Wu +12 · 70 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. 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
  5. 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
  6. RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold
    2024/06/20 by Amrith Setlur, Setlur, Amrith, Saurabh K. Garg† +9 · 21 citations
    Computer Science · #Educational Technology and Assessment
  7. One-Shot Federated Learning
    2019/02/28 by Neel Guha, Guha, Neel, Ameet Talwalkar +3 · 12 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
  8. Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning
    2024/06/19 by Shengyuan Hu, Hu, Shengyuan, Yiwei Fu +5 · 12 citations
    Engineering · Neuroscience · #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Fire Detection and Safety Systems #Machine Learning (cs.LG)
  9. On Tilted Losses in Machine Learning: Theory and Applications
    2021/09/13 by Li Tian, Li, Tian, Ahmad Beirami +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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. Motley: Benchmarking Heterogeneity and Personalization in Federated Learning
    2022/06/18 by Shanshan Wu, Tian Li, Wu, Shanshan +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)
  16. 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)
  17. Grass: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients
    2024/06/25 by Aashiq Muhamed, Muhamed, Aashiq, Oscar Li +7 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Machine Learning and Algorithms #Neural Networks and Applications
  18. Federated LoRA with Sparse Communication
    2024/06/07 by Kevin Kuo, Arian Raje, Kuo, Kevin +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)
  19. 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
  20. Agreement-Based Cascading for Efficient Inference
    2024/07/02 by Steven Kolawole, Don Kurian Dennis, Kolawole, Steven +5 · 3 citations
    Computer Science · #AI in cancer detection #Neural Networks and Applications #Generative Adversarial Networks and Image Synthesis
  21. Heterogeneity for the Win: One-Shot Federated Clustering
    2021/03/01 by Don Kurian Dennis, Dennis, Don Kurian, Tian Li +3 · 1 citation
    Computer Science · #Privacy-Preserving Technologies in Data #Internet Traffic Analysis and Secure E-voting #Mobile Crowdsensing and Crowdsourcing
  22. Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution
    2021/02/23 by Amrith Setlur, Setlur, Amrith, Oscar Li +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
  23. Adversarial Unlearning: Reducing Confidence Along Adversarial Directions
    2022/06/03 by Amrith Setlur, Setlur, Amrith, Benjamin Eysenbach +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
  24. Exact Unlearning of Finetuning Data via Model Merging at Scale
    2025/04/06 by Kevin Kuo, Amrith Setlur, Kuo, Kevin +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
  25. Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs
    2025/05/26 by Xiangchen Song, Song, Xiangchen, Aashiq Muhamed +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)
  26. 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
  27. 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)