Contextual Client Selection for Efficient Federated Learning Over Edge Devices.
IEEE Trans. Mob. Comput., June, 2024
On provable privacy vulnerabilities of graph representations.
CoRR, 2024
On provable privacy vulnerabilities of graph representations.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
SatFlow: Scalable Network Planning for LEO Mega-Constellations.
Proceedings of the 32nd IEEE International Conference on Network Protocols, 2024
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks.
CoRR, 2023
Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
FedWalk: Communication Efficient Federated Unsupervised Node Embedding with Differential Privacy.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022