Gauri Joshi

1. Advances and Open Problems in Federated Learning
   2020/12/02 by Peter Kairouz, H. Brendan McMahan, Brendan Avent +56 · 193 citations
   Computer Science · #Cryptography and Data Security #Mobile Crowdsensing and Crowdsourcing #Privacy-Preserving Technologies in Data
2. Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
   2020/07/15 by Jianyu Wang, Qinghua Liu, Wang, Jianyu +7 · 80 citations
   Computer Science · #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #IoT and Edge/Fog Computing
3. Accelerating Deep Learning by Focusing on the Biggest Losers
   2019/10/02 by Angela H. Jiang, Daniel Wong, Jiang, Angela H. +22 · 1 voice · 10 citations
   Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning
4. Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies
   2020/10/02 by Yae Jee Cho, Jianyu Wang, Cho, Yae Jee +3 · 21 citations
   Computer Science · #Cryptography and Data Security #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Privacy-Preserving Technologies in Data #Recommender Systems and Techniques #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
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. Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
   2024/01/12 by Yae Jee Cho, Cho, Yae Jee, Luyang Liu +7 · 21 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)
7. FedExP: Speeding Up Federated Averaging via Extrapolation
   2023/01/23 by Divyansh Jhunjhunwala, Shiqiang Wang, Jhunjhunwala, Divyansh +3 · 9 citations
   Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
8. Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
   2022/04/27 by Yae Jee Cho, Cho, Yae Jee, Andre Manoel +7 · 7 citations
   Computer Science · Medicine · #AI in cancer detection #COVID-19 diagnosis using AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
9. Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD
   2018/03/03 by Sanghamitra Dutta, Gauri Joshi, Dutta, Sanghamitra +7 · 5 citations
   Computer Science · Engineering · #Advanced Memory and Neural Computing #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel Computing and Optimization Techniques #Reinforcement Learning in Robotics #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
10. Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
    2022/03/09 by Pranay Sharma, Rohan Panda, Sharma, Pranay +5 · 4 citations
    Computer Science · Engineering · #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Parallel #Privacy-Preserving Technologies in Data #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
11. Cooperative SGD: A unified Framework for the Design and Analysis of\n Communication-Efficient SGD Algorithms
    2018/08/22 by Jianyu Wang, Gauri Joshi, Wang, Jianyu +1 · 4 citations
    Computer Science · Engineering · #Advanced Data Compression Techniques #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Image Segmentation Techniques #Parallel #Privacy-Preserving Technologies in Data #Simulation and Modeling Applications #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
12. FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning
    2022/07/28 by Divyansh Jhunjhunwala, Pranay Sharma, Jhunjhunwala, Divyansh +5 · 4 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
13. Deep Kernels with Probabilistic Embeddings for Small-Data Learning
    2019/10/13 by Ankur Mallick, Mallick, Ankur, Chaitanya Dwivedi +7 · 3 citations
    Computer Science · Environmental Science · #Air Quality Monitoring and Forecasting #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
14. Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer
    2021/09/16 by Yae Jee Cho, Cho, Yae Jee, Jianyu Wang +5 · 3 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
15. On the Convergence of Federated Averaging with Cyclic Client Participation
    2023/02/06 by Yae Jee Cho, Pranay Sharma, Cho, Yae Jee +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)
16. The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond
    2023/05/18 by Jiin Woo, Gauri Joshi, Woo, Jiin +3 · 3 citations
    Computer Science · #Age of Information Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
17. Efficient Straggler Replication in Large-scale Parallel Computing
    2015/03/11 by Wang Da, Gauri Joshi, Wang, Da +3 · 1 citation
    Computer Science · #C.4 #Cloud Computing and Resource Management #Distributed #F.2.2 #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Parallel #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
18. High-probability Convergence Bounds for Nonlinear Stochastic Gradient Descent Under Heavy-tailed Noise
    2023/10/28 by Aleksandar Armacki, Pranay Sharma, Armacki, Aleksandar +9 · 2 citations
    Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Random Matrices and Applications #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST) #Stochastic Gradient Optimization Techniques
19. Bandit-based Communication-Efficient Client Selection Strategies for\n Federated Learning
    2020/12/14 by Yae Jee Cho, Cho, Yae Jee, Samarth Gupta +5 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Cryptography and Data Security #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
20. Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation
    2021/10/14 by Divyansh Jhunjhunwala, Jhunjhunwala, Divyansh, Ankur Mallick +7 · 1 citation
    Computer Science · Engineering · #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Indoor and Outdoor Localization Technologies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques
21. FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients
    2022/01/28 by Jianyu Wang, Hang Qi, Wang, Jianyu +11 · 1 citation
    Computer Science · #Privacy-Preserving Technologies in Data #Cryptography and Data Security
22. Federated Learning under Distributed Concept Drift
    2022/06/01 by Ellango Jothimurugesan, Jothimurugesan, Ellango, Kevin Hsieh +7 · 1 citation
    Computer Science · #Data Stream Mining Techniques #Privacy-Preserving Technologies in Data #Caching and Content Delivery