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Xu, Zheng

  1. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
    2025/07/07 by Gheorghe Comanici, Comanici, Gheorghe, Eric Bieber +6844 · 8 voices · 1345 citations
    #cs.CL #cs.AI
  2. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
    2024/03/08 by Gemini Robotics Team, Petko Georgiev, Gemini Team +2277 · 4 voices · 529 citations
    Computer Science · #Semantic Web and Ontologies
  3. Advances and Open Problems in Federated Learning
    2019/12/10 by Kairouz, Peter, McMahan, H. Brendan, Avent, Brendan +56 · 217 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  4. Visualizing the Loss Landscape of Neural Nets
    2017/12/28 by Li, Hao, Xu, Zheng, Taylor, Gavin +2 · 96 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. Adversarial Training for Free!
    2019/04/29 by Shafahi, Ali, Najibi, Mahyar, Ghiasi, Amin +6 · 30 citations
    #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  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. Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
    2024/01/12 by Yae Jee Cho, Luyang Liu, Cho, Yae Jee +7 · 20 citations
    Computer Science · #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)
  8. Training Quantized Nets: A Deeper Understanding
    2017/06/07 by Hao Li, Li, Hao, Soham De +9 · 14 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications #Stochastic Gradient Optimization Techniques
  9. Practical and Private (Deep) Learning without Sampling or Shuffling
    2021/02/26 by Peter Kairouz, Kairouz, Peter, Brendan McMahan +9 · 12 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  10. Universal Adversarial Training
    2018/11/27 by Shafahi, Ali, Najibi, Mahyar, Xu, Zheng +3 · 8 citations
    #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  11. Training Neural Networks Without Gradients: A Scalable ADMM Approach
    2016/05/06 by Gavin Taylor, Taylor, Gavin, Ryan Burmeister +9 · 8 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
  12. The Impact of Neural Network Overparameterization on Gradient Confusion\n and Stochastic Gradient Descent
    2019/04/15 by Karthik Abinav Sankararaman, Sankararaman, Karthik A., Soham De +7 · 6 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
  13. Federated Learning of Gboard Language Models with Differential Privacy
    2023/05/29 by Xu, Zheng, Zhang, Yanxiang, Andrew, Galen +5 · 7 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. Adaptive Consensus ADMM for Distributed Optimization
    2017/06/09 by Xu, Zheng, Taylor, Gavin, Li, Hao +3 · 3 citations
    #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #Systems and Control (eess.SY) #electronic engineering #information engineering
  15. User Inference Attacks on Large Language Models
    2023/10/13 by Nikhil Kandpal, Krishna Pillutla, Kandpal, Nikhil +9 · 6 citations
    Computer Science · #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Topic Modeling
  16. (Amplified) Banded Matrix Factorization: A unified approach to private training
    2023/06/13 by Christopher A. Choquette-Choo, Arun Ganesh, Choquette-Choo, Christopher A. +11 · 5 citations
    Computer Science · Engineering · #Advanced MIMO Systems Optimization #Cooperative Communication and Network Coding #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  17. Efficient and Private Federated Learning with Partially Trainable Networks
    2021/10/06 by Sidahmed, Hakim, Xu, Zheng, Garg, Ankush +2 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  18. 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)
  19. On the Convergence of Federated Averaging with Cyclic Client Participation
    2023/02/06 by Yae Jee Cho, Cho, Yae Jee, Pranay Sharma +9 · 3 citations
    Computer Science · #Cooperative Communication and Network Coding #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Wireless Networks and Protocols #and Cluster Computing (cs.DC)
  20. GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training
    2021/02/16 by Zhu, Chen, Ni, Renkun, Xu, Zheng +3 · 2 citations
    #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  21. Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID Data
    2021/06/30 by Yao, Dezhong, Pan, Wanning, Dai, Yutong +5 · 2 citations
    #Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  22. Privacy-Preserving Instructions for Aligning Large Language Models
    2024/02/21 by Yu Da, Yu, Da, Peter Kairouz +5 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Privacy-Preserving Technologies in Data
  23. Federated Learning in Practice: Reflections and Projections
    2024/10/11 by Katharine Daly, Hubert Eichner, Daly, Katharine +9 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  24. Wafer-scale Computing: Advancements, Challenges, and Future Perspectives
    2023/10/14 by Yang Hu, Xinhan Lin, Hu, Yang +27 · 5 citations
    Engineering · #Advanced Memory and Neural Computing #CCD and CMOS Imaging Sensors #Ferroelectric and Negative Capacitance Devices
  25. Can Public Large Language Models Help Private Cross-device Federated Learning?
    2023/05/20 by Wang, Boxin, Zhang, Yibo Jacky, Cao, Yuan +5 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  26. Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation
    2017/04/10 by Xu, Zheng, Figueiredo, Mario A. T., Yuan, Xiaoming +2 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  27. Enhancing Kubernetes Automated Scheduling with Deep Learning and Reinforcement Techniques for Large-Scale Cloud Computing Optimization
    2024/02/26 by Zheng Xu, Xu, Zheng, Yulu Gong +7 · 2 citations
    Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Brain Tumor Detection and Classification #Cloud Computing and Resource Management #Distributed #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  28. Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs
    2025/03/16 by Bowen Tan, Tan, Bowen, Zheng Xu +7 · 4 citations
    Computer Science · #Privacy-Preserving Technologies in Data #Cryptography and Data Security #Internet Traffic Analysis and Secure E-voting
  29. Prompt Public Large Language Models to Synthesize Data for Private On-device Applications
    2024/04/05 by Shanshan Wu, Xu Zheng, Wu, Shanshan +7 · 2 citations
    Computer Science · #Advanced Data Storage Technologies #Caching and Content Delivery #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  30. Local Adaptivity in Federated Learning: Convergence and Consistency
    2021/06/04 by Wang, Jianyu, Xu, Zheng, Garrett, Zachary +3 · 1 citation
    #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #and Cluster Computing (cs.DC)
  31. Beyond Uniform Lipschitz Condition in Differentially Private Optimization
    2022/06/21 by Das, Rudrajit, Kale, Satyen, Xu, Zheng +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  32. A Hassle-free Algorithm for Private Learning in Practice: Don't Use Tree Aggregation, Use BLTs
    2024/08/16 by H. Brendan McMahan, Zheng Xu, McMahan, H. Brendan +3 · 1 citation
    Computer Science · #Complexity and Algorithms in Graphs #Cryptography and Data Security #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  33. Non-vanishing implies numerical dimension one abundance
    2025/05/08 by Liu, Jihao, Xu, Zheng · 3 citations
    #14E30 #32J27 #Algebraic Geometry (math.AG) #Complex Variables (math.CV) #Differential Geometry (math.DG) #FOS: Mathematics