| 2026 | SIGCOMM | Toward WAN-Aware LLM Training Across Heterogeneous, Geo-Distributed Sites. | Ziyue Luo, Jiaxuan Cai, Cedric Le Denmat, Srijith Nair, Fatemeh Nourzad, Rohith Krishnan Sudha, Qinhang Wu, Jifan Zhang, Sungjae Lee, Zhe Li, Peiwen Qiu, Siddharth Shah, Rishabh Sharma, Yinglun Xia, Xue Zheng, Zidong Liu, Bicheng Ying, Kaushik R. Chowdhury, Gauri Joshi, Yingbin Liang, Robert D. Nowak, Srinivasan Parthasarathy, Saurav Prakash, Balaraman Ravindran, Sanjay Shakkottai, Ness B. Shroff, Sundararajan Srinivasan, Haibo Yang, Aylin Yener, Jia Liu |
| 2025 | AISTATS | High-probability Convergence Bounds for Online Nonlinear Stochastic Gradient Descent under Heavy-tailed Noise. | Aleksandar Armacki, Shuhua Yu, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar |
| 2025 | AISTATS | Federated Communication-Efficient Multi-Objective Optimization. | Baris Askin, Pranay Sharma, Gauri Joshi, Carlee Joe-Wong |
| 2025 | ICLR | Debiasing Federated Learning with Correlated Client Participation. | Zhenyu Sun, Ziyang Zhang, Zheng Xu, Gauri Joshi, Pranay Sharma, Ermin Wei |
| 2025 | ICML | FedECADO: A Dynamical System Model of Federated Learning. | Aayushya Agarwal, Gauri Joshi, Lawrence T. Pileggi |
| 2024 | AISTATS | Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems. | Neharika Jali, Guannan Qu, Weina Wang, Gauri Joshi |
| 2024 | AISTATS | FedFisher: Leveraging Fisher Information for One-Shot Federated Learning. | Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi |
| 2024 | EMNLP | Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models. | Yae Jee Cho, Luyang Liu, Zheng Xu, Aldi Fahrezi, Gauri Joshi |
| 2024 | ICASSP | On Improved Distributed Random Reshuffling over Networks. | Pranay Sharma, Jiarui Li, Gauri Joshi |
| 2024 | ICML | Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices. | Jiin Woo, Laixi Shi, Gauri Joshi, Yuejie Chi |
| 2024 | ISIT | Erasure Coded Neural Network Inference via Fisher Averaging. | Divyansh Jhunjhunwala, Neharika Jali, Gauri Joshi, Shiqiang Wang |
| 2024 | UAI | FedAST: Federated Asynchronous Simultaneous Training. | Baris Askin, Pranay Sharma, Carlee Joe-Wong, Gauri Joshi |
| 2023 | AISTATS | Federated Learning under Distributed Concept Drift. | Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons |
| 2023 | ICCV | Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels. | Yae Jee Cho, Gauri Joshi, Dimitrios Dimitriadis |
| 2023 | ICLR | FedExP: Speeding Up Federated Averaging via Extrapolation. | Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi |
| 2023 | ICML | On the Convergence of Federated Averaging with Cyclic Client Participation. | Yae Jee Cho, Pranay Sharma, Gauri Joshi, Zheng Xu, Satyen Kale, Tong Zhang |
| 2023 | ICML | The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond. | Jiin Woo, Gauri Joshi, Yuejie Chi |
| 2022 | AISTATS | Towards Understanding Biased Client Selection in Federated Learning. | Yae Jee Cho, Jianyu Wang, Gauri Joshi |
| 2022 | ICASSP | A Dynamic Reweighting Strategy For Fair Federated Learning. | Zhiyuan Zhao, Gauri Joshi |
| 2022 | ICML | Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling. | Sajad Khodadadian, Pranay Sharma, Gauri Joshi, Siva Theja Maguluri |
| 2022 | ICML | Federated Minimax Optimization: Improved Convergence Analyses and Algorithms. | Pranay Sharma, Rohan Panda, Gauri Joshi, Pramod K. Varshney |
| 2022 | IJCAI | Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning. | Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis |
| 2022 | ITW | Rateless Sum-Recovery Codes For Distributed Non-Linear Computations. | Ankur Mallick, Gauri Joshi |
| 2022 | MOBIHOC | Tackling heterogeneous traffic in multi-access systems via erasure coded servers. | Tuhinangshu Choudhury, Weina Wang, Gauri Joshi |
| 2022 | MOBIHOC | Correlated combinatorial bandits for online resource allocation. | Samarth Gupta, Jinhang Zuo, Carlee Joe-Wong, Gauri Joshi, Osman Yagan |
| 2022 | UAI | Fedvarp: Tackling the variance due to partial client participation in federated learning. | Divyansh Jhunjhunwala, Pranay Sharma, Aushim Nagarkatti, Gauri Joshi |
| 2021 | ICASSP | A Unified Approach to Translate Classical Bandit Algorithms to Structured Bandits. | Samarth Gupta, Shreyas Chaudhari, Subhojyoti Mukherjee, Gauri Joshi, Osman Yagan |
| 2021 | ICASSP | Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning. | Divyansh Jhunjhunwala, Advait Gadhikar, Gauri Joshi, Yonina C. Eldar |
| 2021 | MOBIHOC | Job Dispatching Policies for Queueing Systems with Unknown Service Rates. | Tuhinangshu Choudhury, Gauri Joshi, Weina Wang, Sanjay Shakkottai |
| 2021 | UAI | Deep kernels with probabilistic embeddings for small-data learning. | Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, Thomas Yong-Jin Han |
| 2020 | ACSSC | Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning. | Yae Jee Cho, Samarth Gupta, Gauri Joshi, Osman Yagan |
| 2020 | ACSSC | Exploring the Error-Runtime Trade-off in Decentralized Optimization. | Jianyu Wang, Anit Kumar Sahu, Gauri Joshi, Soummya Kar |
| 2020 | ICASSP | Correlated Multi-Armed Bandits with A Latent Random Source. | Samarth Gupta, Gauri Joshi, Osman Yagan |
| 2020 | ICASSP | Overlap Local-SGD: An Algorithmic Approach to Hide Communication Delays in Distributed SGD. | Jianyu Wang, Hao Liang, Gauri Joshi |
| 2020 | INFOCOM | Machine Learning on Volatile Instances. | Xiaoxi Zhang, Jianyu Wang, Gauri Joshi, Carlee Joe-Wong |
| 2020 | SIGMETRICS | Rateless Codes for Near-Perfect Load Balancing in Distributed Matrix-Vector Multiplication. | Ankur Mallick, Malhar Chaudhari, Utsav Sheth, Ganesh Palanikumar, Gauri Joshi |
| 2019 | ICASSP | Fast and Efficient Distributed Matrix-vector Multiplication Using Rateless Fountain Codes. | Ankur Mallick, Malhar Chaudhari, Gauri Joshi |
| 2019 | ISIT | Rateless Codes for Distributed Computations with Sparse Compressed Matrices. | Ankur Mallick, Gauri Joshi |
| 2018 | AISTATS | Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD. | Sanghamitra Dutta, Gauri Joshi, Soumyadip Ghosh, Parijat Dube, Priya Nagpurkar |
| 2018 | ITW | Service Rate Region of Content Access from Erasure Coded Storage. | Sarah E. Anderson, Ann Johnston, Gauri Joshi, Gretchen L. Matthews, Carolyn Mayer, Emina Soljanin |
| 2015 | ISIT | Playback delay in on-demand streaming communication with feedback. | Kaveh Mahdaviani, Ashish Khisti, Gauri Joshi, Gregory W. Wornell |
| 2014 | INFOCOM | The effect of block-wise feedback on the throughput-delay trade-off in streaming. | Gauri Joshi, Yuval Kochman, Gregory W. Wornell |
| 2014 | SIGMETRICS | Efficient task replication for fast response times in parallel computation. | Da Wang, Gauri Joshi, Gregory W. Wornell |
| 2013 | ISIT | Round-robin overlapping generations coding for fast content download. | Gauri Joshi, Emina Soljanin |
| 2012 | ISIT | On playback delay in streaming communication. | Gauri Joshi, Yuval Kochman, Gregory W. Wornell |