Gradient-based Uncertainty Attribution for Explainable Bayesian Deep LearningHanjing WangDhiraj Joshiet al.2023CVPR 2023
FedExP: Speeding up Federated Averaging via ExtrapolationDivyansh JhunjhunwalaShiqiang Wanget al.2023ICLR 2023
Use Coupled LSTM Networks to Solve Constrained Optimization ProblemsZheyu ChenKin K. Leunget al.2023IEEE TCCN
Laplacian Matrix Sampling for Communication- Efficient Decentralized LearningCho-Chun ChiuXusheng Zhanget al.2023IEEE J-SAC
Adaptive Federated Pruning in Hierarchical Wireless NetworksXiaonan LiuShiqiang Wanget al.2023IEEE TWC
Collaborative Learning-Based Scheduling for <italic>Kubernetes</italic>-Oriented Edge-Cloud NetworkShihao ShenYiwen Hanet al.2023IEEE/ACM TON
Flexible Vertical Federated Learning With Heterogeneous PartiesTimothy CastigliaShiqiang Wanget al.2023IEEE TNNLS
A Unified Analysis of Federated Learning with Arbitrary Client ParticipationShiqiang WangMingyue Ji2022NeurIPS 2022
Federated Learning: Recent Advances and New ChallengesShiqiang WangNathalie Baracaldo Angelet al.2022NeurIPS 2022