• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 162 matches

• 2024
• 
  Yae Jee Cho, Divyansh Jhunjhunwala, Tian Li, Virginia Smith, Gauri Joshi:
  Maximizing Global Model Appeal in Federated Learning. Trans. Mach. Learn. Res. 2024 (2024)
• 
  Jianyu Wang, Rudrajit Das, Gauri Joshi, Satyen Kale, Zheng Xu, Tong Zhang:
  On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data. Trans. Mach. Learn. Res. 2024 (2024)
• 
  Neharika Jali, Guannan Qu, Weina Wang, Gauri Joshi:
  Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems. AISTATS 2024: 4177-4185
• 
  Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi:
  FedFisher: Leveraging Fisher Information for One-Shot Federated Learning. AISTATS 2024: 1612-1620
• 
  Yae Jee Cho, Luyang Liu, Zheng Xu, Aldi Fahrezi, Gauri Joshi:
  Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models. EMNLP 2024: 12903-12913
• 
  Pranay Sharma, Jiarui Li, Gauri Joshi:
  On Improved Distributed Random Reshuffling over Networks. ICASSP 2024: 13211-13215
• 
  Jiin Woo, Laixi Shi, Gauri Joshi, Yuejie Chi:
  Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices. ICML 2024
• 
  Divyansh Jhunjhunwala, Neharika Jali, Gauri Joshi, Shiqiang Wang:
  Erasure Coded Neural Network Inference via Fisher Averaging. ISIT 2024: 13-18
• 
  Yae Jee Cho, Luyang Liu, Zheng Xu, Aldi Fahrezi, Gauri Joshi:
  Heterogeneous Low-Rank Approximation for Federated Fine-tuning of On-Device Foundation Models. CoRR abs/2401.06432 (2024)
• 
  Neharika Jali, Guannan Qu, Weina Wang, Gauri Joshi:
  Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems. CoRR abs/2402.01147 (2024)
• 
  Jiin Woo, Laixi Shi, Gauri Joshi, Yuejie Chi:
  Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices. CoRR abs/2402.05876 (2024)
• 
  Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi:
  FedFisher: Leveraging Fisher Information for One-Shot Federated Learning. CoRR abs/2403.12329 (2024)
• 
  Baris Askin, Pranay Sharma, Carlee Joe-Wong, Gauri Joshi:
  FedAST: Federated Asynchronous Simultaneous Training. CoRR abs/2406.00302 (2024)
• 
  Divyansh Jhunjhunwala, Neharika Jali, Gauri Joshi, Shiqiang Wang:
  Erasure Coded Neural Network Inference via Fisher Averaging. CoRR abs/2409.01420 (2024)
• 
  Zhenyu Sun, Ziyang Zhang, Zheng Xu, Gauri Joshi, Pranay Sharma, Ermin Wei:
  Debiasing Federated Learning with Correlated Client Participation. CoRR abs/2410.01209 (2024)
• 
  Aayushya Agarwal, Gauri Joshi, Lawrence T. Pileggi:
  FedECADO: A Dynamical System Model of Federated Learning. CoRR abs/2410.09933 (2024)
• 
  Aleksandar Armacki, Shuhua Yu, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
  Nonlinear Stochastic Gradient Descent and Heavy-tailed Noise: A Unified Framework and High-probability Guarantees. CoRR abs/2410.13954 (2024)
• 
  Baris Askin, Pranay Sharma, Gauri Joshi, Carlee Joe-Wong:
  Federated Communication-Efficient Multi-Objective Optimization. CoRR abs/2410.16398 (2024)
• 2023
• 
  Yae Jee Cho, Jianyu Wang, Tarun Chirvolu, Gauri Joshi:
  Communication-Efficient and Model-Heterogeneous Personalized Federated Learning via Clustered Knowledge Transfer. IEEE J. Sel. Top. Signal Process. 17(1): 234-247 (2023)
• 
  Gauri Takawane, Abhishek Phaltankar, Varad Patwardhan, Aryan Patil, Raviraj Joshi, Mukta S. Takalikar:
  Language augmentation approach for code-mixed text classification. Nat. Lang. Process. J. 5: 100042 (2023)
• 
  Tuhinangshu Choudhury, Weina Wang, Gauri Joshi:
  Tackling Heterogeneous Traffic in Multi-access Systems via Erasure Coded Servers. SIGMETRICS Perform. Evaluation Rev. 50(4): 59-61 (2023)
• 
  Samarth Gupta, Jinhang Zuo, Carlee Joe-Wong, Gauri Joshi, Osman Yagan:
  Correlated Combinatorial Bandits for Online Resource Allocation. SIGMETRICS Perform. Evaluation Rev. 50(4): 20-22 (2023)
• 
  Pranay Sharma, Rohan Panda, Gauri Joshi:
  Federated Minimax Optimization with Client Heterogeneity. Trans. Mach. Learn. Res. 2023 (2023)
• 
  Rajeev Kumar, Gaurish Joshi, Amit Kumar Singh Chauhan, Arun Kumar Singh, Ashish K. Rao:
  A Deep Learning and Channel Sounding Based Data Authentication and QoS Enhancement Mechanism for Massive IoT Networks. Wirel. Pers. Commun. 130(4): 2495-2514 (2023)
• 
  Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons:
  Federated Learning under Distributed Concept Drift. AISTATS 2023: 5834-5853
• 
  Gauri Deshpande, Björn W. Schuller, Pallavi Deshpande, Anuradha Rajiv Joshi:
  Automatic Breathing Pattern Analysis from Reading-Speech Signals. EMBC 2023: 1-4
• 
  Yae Jee Cho, Gauri Joshi, Dimitrios Dimitriadis:
  Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels. ICCV 2023: 17041-17050
• 
  Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi:
  FedExP: Speeding Up Federated Averaging via Extrapolation. ICLR 2023
• 
  Yae Jee Cho, Pranay Sharma, Gauri Joshi, Zheng Xu, Satyen Kale, Tong Zhang:
  On the Convergence of Federated Averaging with Cyclic Client Participation. ICML 2023: 5677-5721
• 
  Jiin Woo, Gauri Joshi, Yuejie Chi:
  The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond. ICML 2023: 37157-37216

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