Robust Graph Learning Against Camouflaged Malicious Actors.
Proceedings of the Web Information Systems Engineering - WISE 2024, 2024
TROPICAL: Transformer-Based Hypergraph Learning for Camouflaged Fraudster Detection.
Proceedings of the IEEE International Conference on Data Mining, 2024
DFLStar: A Decentralized Federated Learning Framework with Self-Knowledge Distillation and Participant Selection.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Towards Efficient Decentralized Federated Learning: A Survey.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024
A Survey of Federated Evaluation in Federated Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
GCN-based Multi-task Representation Learning for Anomaly Detection in Attributed Networks.
CoRR, 2022
Chapter Three - A power-performance balanced network-on-chip for mixed CPU-GPU systems.
Adv. Comput., 2022
A survey on participant selection for federated learning in mobile networks.
Proceedings of the MobiArch '22: Proceedings of the 17th ACM Workshop on Mobility in the Evolving Internet Architecture, 2022
BiNoCHS: Bimodal Network-on-Chip for CPU-GPU Heterogeneous Systems.
Proceedings of the Eleventh IEEE/ACM International Symposium on Networks-on-Chip, 2017
POSTER: Elastic Reconfiguration for Heterogeneous NoCs with BiNoCHS.
Proceedings of the 26th International Conference on Parallel Architectures and Compilation Techniques, 2017