FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks Y Yao, W Jin, S Ravi, C Joe-Wong Advances in Neural Information Processing Systems (NeurIPS), 2023 | 66 | 2023 |
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System W Jin, Y Yao, S Han, C Joe-Wong, S Ravi, S Avestimehr, C He NeurIPS 2023 Federated Learning Workshop, 2023 | 60* | 2023 |
LLM multi-agent systems: Challenges and open problems S Han, Q Zhang, Y Yao, W Jin, Z Xu, C He arXiv preprint arXiv:2402.03578, 2024 | 36 | 2024 |
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks Y Yao, C Joe-Wong Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4608-4616, 2021 | 27 | 2021 |
Gcn-se: Attention as explainability for node classification in dynamic graphs Y Fan, Y Yao, C Joe-Wong 2021 IEEE International Conference on Data Mining (ICDM), 1060-1065, 2021 | 26 | 2021 |
FedRule: Federated rule recommendation system with graph neural networks Y Yao, MM Kamani, Z Cheng, L Chen, C Joe-Wong, T Liu Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and …, 2023 | 21 | 2023 |
FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs S Han, B Buyukates, Z Hu, H Jin, W Jin, L Sun, X Wang, C Xie, Y Yao, ... arXiv preprint arXiv:2306.04959, 2023 | 19* | 2023 |
GLP: A novel framework for group-level location promotion in geo-social networks X Wu, L Fu, Y Yao, X Fu, X Wang, G Chen IEEE/ACM Transactions on Networking 26 (6), 2870-2883, 2018 | 19 | 2018 |
TensorOpera Router: A Multi-Model Router for Efficient LLM Inference D Stripelis, Z Hu, J Zhang, Z Xu, AD Shah, H Jin, Y Yao, S Avestimehr, ... arXiv preprint arXiv:2408.12320, 2024 | 8* | 2024 |
Modeling, analysis and validation of evolving networks with hybrid interactions J Liu, L Fu, Y Yao, X Fu, X Wang, G Chen IEEE/ACM Transactions on Networking 27 (1), 126-142, 2018 | 7 | 2018 |
Kick Bad Guys Out! Zero-Knowledge-Proof-Based Anomaly Detection in Federated Learning S Han, W Wu, B Buyukates, W Jin, Y Yao, Q Zhang, S Avestimehr, C He arXiv preprint arXiv:2310.04055, 2023 | 6 | 2023 |
An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System. arXiv W Jin, Y Yao, S Han, C Joe-Wong, S Ravi, S Avestimehr, CFMLHE He arXiv preprint arXiv:2303.10837, 2023 | 6 | 2023 |
Core percolation in interdependent networks J Zhang, L Fu, S Li, Y Yao, X Wang IEEE Transactions on Network Science and Engineering 6 (4), 952-967, 2018 | 6 | 2018 |
WYZE rule: federated rule dataset for rule recommendation benchmarking MM Kamani, Y Yao, H Lyu, Z Cheng, L Chen, L Li, C Joe-Wong, J Luo Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
Evolving K-graph: Modeling hybrid interactions in networks J Liu, Y Yao, X Fu, L Fu, XY Liu, X Wang Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc …, 2017 | 4 | 2017 |
Federated large language models: Current progress and future directions Y Yao, J Zhang, J Wu, C Huang, Y Xia, T Yu, R Zhang, S Kim, R Rossi, ... arXiv preprint arXiv:2409.15723, 2024 | 3 | 2024 |
ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency Y Yao, H Jin, AD Shah, S Han, Z Hu, Y Ran, D Stripelis, Z Xu, ... arXiv preprint arXiv:2408.00008, 2024 | 3 | 2024 |
TorchOpera: A Compound AI System for LLM Safety S Han, Z Hu, AD Shah, H Jin, Y Yao, D Stripelis, Z Xu, C He arXiv preprint arXiv:2406.10847, 2024 | 3 | 2024 |
Faithful Explanations for Deep Graph Models Z Wang, Y Yao, C Zhang, H Zhang, Y Kang, C Joe-Wong, M Fredrikson, ... arXiv preprint arXiv:2205.11850, 2022 | 2 | 2022 |
A neural-based bandit approach to mobile crowdsourcing S Lin, Y Yao, P Zhang, HY Noh, C Joe-Wong Proceedings of the 23rd Annual International Workshop on Mobile Computing …, 2022 | 2 | 2022 |