Tianshi Che

According to our database, Tianshi Che authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

2024

FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update.

Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices.

Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez

CoRR, 2023

FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model Update.

Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou

CoRR, 2023

Fast Federated Machine Unlearning with Nonlinear Functional Theory.

Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan

Proceedings of the International Conference on Machine Learning, 2023

Exploring the Effectiveness of Multi-Lingual Commonsense Knowledge-Aware Open-Domain Dialogue Response Generation.

Sixing Wu, Jiong Yu, Tianshi Che, Yang Zhou, Wei Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization.

Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization.

Zijie Zhang, Yang Zhou, Xin Zhao, Tianshi Che, Lingjuan Lyu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Federated Fingerprint Learning with Heterogeneous Architectures.

Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Integrated Defense for Resilient Graph Matching.

Jiaxiang Ren, Zijie Zhang, Jiayin Jin, Xin Zhao, Sixing Wu, Yang Zhou, Yelong Shen, Tianshi Che, Ruoming Jin, Dejing Dou

Proceedings of the 38th International Conference on Machine Learning, 2021

Adversarial Attack against Cross-lingual Knowledge Graph Alignment.

Zeru Zhang, Zijie Zhang, Yang Zhou, Lingfei Wu, Sixing Wu, Xiaoying Han, Dejing Dou, Tianshi Che, Da Yan

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021