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2020 – today
- 2024
[c9]Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou:
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update. AAAI 2024: 13900-13908- [c8]Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez:
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. SDM 2024: 833-841 - 2023
- [c7]Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou:
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization. EMNLP 2023: 7871-7888 - [c6]Sixing Wu, Jiong Yu, Tianshi Che, Yang Zhou, Wei Zhou:
Exploring the Effectiveness of Multi-Lingual Commonsense Knowledge-Aware Open-Domain Dialogue Response Generation. EMNLP (Findings) 2023: 14804-14814 - [c5]Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan:
Fast Federated Machine Unlearning with Nonlinear Functional Theory. ICML 2023: 4241-4268 - [i3]Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou:
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization. CoRR abs/2310.15080 (2023) - [i2]Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou:
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model Update. CoRR abs/2312.05770 (2023) - [i1]Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez:
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. CoRR abs/2312.10935 (2023) - 2022
- [c4]Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang
, Da Yan, Ruoming Jin, Dejing Dou:
Federated Fingerprint Learning with Heterogeneous Architectures. ICDM 2022: 31-40 - [c3]Zijie Zhang, Yang Zhou, Xin Zhao, Tianshi Che, Lingjuan Lyu:
Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization. NeurIPS 2022 - 2021
- [c2]Zeru Zhang, Zijie Zhang, Yang Zhou, Lingfei Wu, Sixing Wu, Xiaoying Han, Dejing Dou, Tianshi Che, Da Yan:
Adversarial Attack against Cross-lingual Knowledge Graph Alignment. EMNLP (1) 2021: 5320-5337 - [c1]Jiaxiang Ren, Zijie Zhang, Jiayin Jin, Xin Zhao, Sixing Wu, Yang Zhou, Yelong Shen, Tianshi Che, Ruoming Jin, Dejing Dou:
Integrated Defense for Resilient Graph Matching. ICML 2021: 8982-8997
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