Jianyu Wang

According to our database, Jianyu Wang authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Communication-Efficient and Model-Heterogeneous Personalized Federated Learning via Clustered Knowledge Transfer.

Yae Jee Cho, Jianyu Wang, Tarun Chirvolu, Gauri Joshi

IEEE J. Sel. Top. Signal Process., January, 2023

FedFM: Anchor-Based Feature Matching for Data Heterogeneity in Federated Learning.

Rui Ye, Zhenyang Ni, Chenxin Xu, Jianyu Wang, Siheng Chen, Yonina C. Eldar

IEEE Trans. Signal Process., 2023

FedDisco: Federated Learning with Discrepancy-Aware Collaboration.

Rui Ye, Mingkai Xu, Jianyu Wang, Chenxin Xu, Siheng Chen, Yanfeng Wang

Proceedings of the International Conference on Machine Learning, 2023

2022

Matcha: A Matching-Based Link Scheduling Strategy to Speed up Distributed Optimization.

Jianyu Wang, Anit Kumar Sahu, Gauri Joshi, Soummya Kar

IEEE Trans. Signal Process., 2022

Machine Learning on Volatile Instances: Convergence, Runtime, and Cost Tradeoffs.

Xiaoxi Zhang, Jianyu Wang, Li-Feng Lee, Tom Yang, Akansha Kalra, Gauri Joshi, Carlee Joe-Wong

IEEE/ACM Trans. Netw., 2022

2021

A Novel Framework for the Analysis and Design of Heterogeneous Federated Learning.

Jianyu Wang, Qinghua Liu, Hao Liang, Gauri Joshi, H. Vincent Poor

IEEE Trans. Signal Process., 2021

Slow and Stale Gradients Can Win the Race.

Sanghamitra Dutta, Jianyu Wang, Gauri Joshi

IEEE J. Sel. Areas Inf. Theory, 2021

2020

Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization.

Jianyu Wang, Qinghua Liu, Hao Liang, Gauri Joshi, H. Vincent Poor

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Machine Learning on Volatile Instances.

Xiaoxi Zhang, Jianyu Wang, Gauri Joshi, Carlee Joe-Wong

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Exploring the Error-Runtime Trade-off in Decentralized Optimization.

Jianyu Wang, Anit Kumar Sahu, Gauri Joshi, Soummya Kar

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling.

Jianyu Wang, Anit Kumar Sahu, Zhouyi Yang, Gauri Joshi, Soummya Kar

CoRR, 2019