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Gauri Joshi
Observed name:
Joshi, Gauri
Institution:
Carnegie Mellon University
Observed institution:
Carnegie Mellon University
OpenAlex ID:
A5000950022
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
2022
·
Yae Jee Cho
, Andre Manoel
, et al.
·
International Joint Conference on Artificial Intelligence
·
166
PDF
Achieving Logarithmic Regret in KL-Regularized Zero-Sum Markov Games
2025
·
Nayak, Anupam
, Yang, Tong
, et al.
·
arXiv (Cornell University)
·
13
PDF
Multi-Model Federated Learning with Provable Guarantees
2023
·
Neelkamal Bhuyan
, Sharayu Moharir
, et al.
·
Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
·
11
PDF
Emergent and Subliminal Misalignment Through the Lens of Data-Mediated Transfer
2026
·
Askin, Baris
, Ustaomeroglu, Muhammed
, et al.
·
arXiv (Cornell University)
·
8
PDF
Federate the Router: Learning Language Model Routers with Sparse and Decentralized Evaluations
2026
·
Askin, Baris
, Patel, Shivam
, et al.
·
arXiv (Cornell University)
·
6
PDF
Sample Complexity of Average-Reward Q-Learning: From Single-agent to Federated Reinforcement Learning
2026
·
Jiao, Yuchen
, Woo, Jiin
, et al.
·
arXiv (Cornell University)
·
6
PDF
MELINOE: Fine-Tuning Enables Memory-Efficient Inference for Mixture-of-Experts Models
2026
·
Raje, Arian
, Nayak, Anupam
, et al.
·
arXiv (Cornell University)
·
5
PDF
Not All Turns Are Equally Hard: Adaptive Thinking Budgets For Efficient Multi-Turn Reasoning in Agents
2026
·
Jali, Neharika
, Nayak, Anupam
, et al.
·
arXiv (Cornell University)
·
4
PDF
FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA
2025
·
Jhunjhunwala, Divyansh
, Raje, Arian
, et al.
·
arXiv (Cornell University)
·
3
PDF
Initialization Matters: Unraveling the Impact of Pre-Training on Federated Learning
2025
·
Jhunjhunwala, Divyansh
, Sharma, Pranay
, et al.
·
arXiv (Cornell University)
·
3
PDF
Mind the Delay: Latency-aware Query Routing for Heterogeneous LLM pools
2026
·
Patel, Shivam
, Parthasarathy, Akaash R.
, et al.
·
arXiv (Cornell University)
·
2
PDF
LOCUS: Low-Dimensional Model Embeddings for Efficient Model Exploration, Comparison, and Selection
2026
·
Patel, Shivam
, Cocke, William
, et al.
·
arXiv (Cornell University)
·
2
PDF
Job assignment in machine learning inference systems with accuracy constraints
2024
·
Tuhinangshu Choudhury
, Gauri Joshi
, et al.
·
Performance Evaluation
·
2
Federated Communication-Efficient Multi-Objective Optimization
2024
·
Askin, Baris
, Sharma, Pranay
, et al.
·
arXiv (Cornell University)
·
2
PDF
Debiasing Federated Learning with Correlated Client Participation
2024
·
Sun, Zhenyu
, Zhang, Ziyang
, et al.
·
arXiv (Cornell University)
·
1
PDF
FedAST: Federated Asynchronous Simultaneous Training
2024
·
Askin, Baris
, Sharma, Pranay
, et al.
·
arXiv (Cornell University)
·
1
PDF
Correlated Combinatorial Bandits for Online Resource Allocation
2023
·
Samarth Gupta
, Jinhang Zuo
, et al.
·
ACM SIGMETRICS Performance Evaluation Review
·
1
PDF
Optimization Algorithms for Distributed Machine Learning
2022
·
Gauri Joshi
·
Synthesis lectures on learning, networks, and algorithms
·
1
Creating Power Flexibility in Datacenters via Query Routing
2026
·
Patel, Shivam
, Chen, Bingqing
, et al.
·
arXiv (Cornell University)
PDF
Democratizing LLM Training with the Edge: Challenges, Systems, and the Road Ahead
2026
·
Luo, Ziyue
, Cai, Jiaxuan
, et al.
·
arXiv (Cornell University)
PDF
On-Policy Attention Linearization
2026
·
Raje, Arian
, Nayak, Anupam
, et al.
·
arXiv (Cornell University)
PDF
FedGuide: Diffusion Prior Alignment and Value Baseline Guidance for Heterogeneous Federated Reinforcement Learning
2026
·
He, Zhilin
, Joshi, Gauri
·
arXiv (Cornell University)
PDF
PubSwap: Public-Data Off-Policy Coordination for Federated RLVR
2026
·
Nayak, Anupam
, Askin, Baris
, et al.
·
arXiv (Cornell University)
PDF
Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning
2025
·
Askin, Baris
, Roth, Holger R.
, et al.
·
arXiv (Cornell University)
PDF
Introduction to ScaDL 2019
2019
·
Gauri Joshi
, Ashish Verma
·
IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum
PDF
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Works count:
25
Citation count:
237
H-index:
6
I10-index:
3
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