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Jianyu Wang — most-cited papers & profile · AI for Code
← authors
·
overview
Jianyu Wang
29
papers ·
1101
citations ·
37
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
2020 · 575 citations
A Field Guide to Federated Optimization
2021 · 167 citations
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
2022 · 146 citations
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies
2020 · 74 citations
FedDisco: Federated Learning with Discrepancy-Aware Collaboration
2023 · 25 citations
Local Adaptivity in Federated Learning: Convergence and Consistency
2021 · 21 citations
On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data
2022 · 20 citations
Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer
2021 · 15 citations
Federated Learning under Distributed Concept Drift
2022 · 14 citations
RecoWorld: Building Simulated Environments for Agentic Recommender Systems
2025 · 8 citations
FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients
2022 · 8 citations
Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning
2025 · 5 citations
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
2022 · 4 citations
FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent
2023 · 1 citations
RLAX: Large-Scale, Distributed Reinforcement Learning for Large Language Models on TPUs
2025
Top co-authors
Aashu Singh
· 1
Fei Liu
· 1
Hanchao Yu
· 1
Jingcheng Yang
· 1
Jize Jiang
· 1
Khoi Pham
· 1
Klara Nahrstedt
· 1
Mingyuan Wu
· 1
Qifan Wang
· 1
Shengyi Qian
· 1
XuDong Wang
· 1
Zhaolun Su
· 1
Topics
Federated Learning
Data Heterogeneity
Optimization
RLHF & Alignment
Privacy
Communication
Multi-Agent
Policy Gradient
Meta-RL
Efficiency