Gauri Joshi

7.8k total citations
40 papers, 804 citations indexed

About

Gauri Joshi is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Gauri Joshi has authored 40 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 20 papers in Artificial Intelligence and 8 papers in Information Systems. Recurrent topics in Gauri Joshi's work include Stochastic Gradient Optimization Techniques (16 papers), Privacy-Preserving Technologies in Data (9 papers) and Advanced Data Storage Technologies (7 papers). Gauri Joshi is often cited by papers focused on Stochastic Gradient Optimization Techniques (16 papers), Privacy-Preserving Technologies in Data (9 papers) and Advanced Data Storage Technologies (7 papers). Gauri Joshi collaborates with scholars based in United States, India and China. Gauri Joshi's co-authors include Gregory W. Wornell, Da Wang, Emina Soljanin, Jianyu Wang, Yanpei Liu, Jianyu Wang, Hao Liang, Yae Jee Cho, Qinghua Liu and H. Vincent Poor and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Signal Processing and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Gauri Joshi

38 papers receiving 789 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gauri Joshi United States	15	484	429	156	148	55	40	804
Myungjin Lee United States	10	619 1.3×	168 0.4×	248 1.6×	216 1.5×	73 1.3×	41	834
Mohammad Hajjat United States	6	643 1.3×	156 0.4×	189 1.2×	390 2.6×	72 1.3×	11	849
Abhimanu Kumar United States	10	171 0.4×	394 0.9×	61 0.4×	134 0.9×	200 3.6×	13	631
Jim Holt United States	13	296 0.6×	121 0.3×	117 0.8×	150 1.0×	43 0.8×	47	568
Santosh Pandey United States	11	279 0.6×	139 0.3×	252 1.6×	125 0.8×	133 2.4×	33	608
Liwei Kuang China	10	257 0.5×	219 0.5×	64 0.4×	115 0.8×	76 1.4×	17	521
Ping Yu China	12	250 0.5×	282 0.7×	54 0.3×	341 2.3×	110 2.0×	101	685
João P. Vilela Portugal	13	415 0.9×	342 0.8×	441 2.8×	131 0.9×	94 1.7×	65	827
Sridhar J. K. Rao United States	3	366 0.8×	113 0.3×	172 1.1×	143 1.0×	47 0.9×	4	535
Miguel Soriano Spain	16	430 0.9×	262 0.6×	257 1.6×	123 0.8×	75 1.4×	78	719

Countries citing papers authored by Gauri Joshi

Since Specialization

Citations

This map shows the geographic impact of Gauri Joshi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gauri Joshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gauri Joshi more than expected).

Fields of papers citing papers by Gauri Joshi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gauri Joshi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gauri Joshi. The network helps show where Gauri Joshi may publish in the future.

Co-authorship network of co-authors of Gauri Joshi

This figure shows the co-authorship network connecting the top 25 collaborators of Gauri Joshi. A scholar is included among the top collaborators of Gauri Joshi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gauri Joshi. Gauri Joshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Joshi, P. C., et al.. (2025). Formulation and Evaluation of Lip Balm. SSRN Electronic Journal.

Cho, Yae Jee, et al.. (2024). Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models. 12903–12913. 14 indexed citations

Joshi, Gauri, et al.. (2024). Erasure Coded Neural Network Inference via Fisher Averaging. 13–18.

Cho, Yae Jee, et al.. (2023). Communication-Efficient and Model-Heterogeneous Personalized Federated Learning via Clustered Knowledge Transfer. IEEE Journal of Selected Topics in Signal Processing. 17(1). 234–247. 39 indexed citations

Cho, Yae Jee, Gauri Joshi, & Dimitrios Dimitriadis. (2023). Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels. 17041–17050. 6 indexed citations

Joshi, Gauri, et al.. (2022). A Dynamic Reweighting Strategy For Fair Federated Learning. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8772–8776. 21 indexed citations

Joshi, Gauri, et al.. (2022). Rateless codes for near-perfect load balancing in distributed matrix-vector multiplication. Communications of the ACM. 65(5). 111–118. 10 indexed citations

Wang, Jianyu, Qinghua Liu, Hao Liang, Gauri Joshi, & H. Vincent Poor. (2021). A Novel Framework for the Analysis and Design of Heterogeneous Federated Learning. IEEE Transactions on Signal Processing. 69. 5234–5249. 71 indexed citations

Wang, Jianyu & Gauri Joshi. (2021). Cooperative SGD: A Unified Framework for the Design and Analysis of Local-Update SGD Algorithms. Journal of Machine Learning Research. 22(213). 1–50. 86 indexed citations

10.

Gupta, Samarth, et al.. (2021). A Unified Approach to Translate Classical Bandit Algorithms to Structured Bandits. 3360–3364. 3 indexed citations

11.

Joshi, Gauri, et al.. (2021). Rateless Codes for Distributed Non-linear Computations. 1–5. 2 indexed citations

12.

Zhang, Xiaoxi, Jianyu Wang, Gauri Joshi, & Carlee Joe‐Wong. (2020). Machine Learning on Volatile Instances. 139–148. 13 indexed citations

13.

Joshi, Gauri, et al.. (2020). Rateless Codes for Near-Perfect Load Balancing in Distributed Matrix-Vector Multiplication. ACM SIGMETRICS Performance Evaluation Review. 48(1). 95–96. 3 indexed citations

14.

Joshi, Gauri, et al.. (2019). Rateless Codes for Distributed Computations with Sparse Compressed Matrices. 2793–2797. 6 indexed citations

15.

Wang, Da, Gauri Joshi, & Gregory W. Wornell. (2019). Efficient Straggler Replication in Large-Scale Parallel Computing. 4(2). 1–23. 25 indexed citations

16.

Gupta, Samarth, Gauri Joshi, & Osman Yağan. (2018). Exploiting Correlation in Finite-Armed Structured Bandits.. arXiv (Cornell University). 5 indexed citations

17.

Joshi, Gauri. (2017). Boosting Service Capacity via Adaptive Task Replication. ACM SIGMETRICS Performance Evaluation Review. 45(2). 9–11. 3 indexed citations

18.

Wang, Da, Gauri Joshi, & Gregory W. Wornell. (2015). Using Straggler Replication to Reduce Latency in Large-scale Parallel Computing. ACM SIGMETRICS Performance Evaluation Review. 43(3). 7–11. 69 indexed citations

19.

Joshi, Gauri, Emina Soljanin, & Gregory W. Wornell. (2015). Queues with Redundancy. ACM SIGMETRICS Performance Evaluation Review. 43(2). 54–56. 25 indexed citations

20.

Joshi, Gauri, Yuval Kochman, & Gregory W. Wornell. (2014). Throughput-smoothness trade-offs in multicasting of an ordered packet stream. 1–6. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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