Summary of Trail: Trust-aware Client Scheduling For Semi-decentralized Federated Learning, by Gangqiang Hu et al.
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learningby Gangqiang Hu, Jianfeng Lu, Jianmin Han, Shuqin…
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learningby Gangqiang Hu, Jianfeng Lu, Jianmin Han, Shuqin…
FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learningby Minjun Kim, Minjee Kim, Jinhoon…
Vertical Federated Unlearning via Backdoor Certificationby Mengde Han, Tianqing Zhu, Lefeng Zhang, Huan Huo, Wanlei…
Modeling Inter-Intra Heterogeneity for Graph Federated Learningby Wentao Yu, Shuo Chen, Yongxin Tong, Tianlong Gu,…
Federated Domain Generalization with Label Smoothing and Balanced Decentralized Trainingby Milad Soltany, Farhad Pourpanah, Mahdiyar…
Predicting Survival of Hemodialysis Patients using Federated Learningby Abhiram Raju, Praneeth VepakommaFirst submitted to arxiv…
Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networksby Afsaneh Mahmoudi, Emil…
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regressionby Junliang Lyu, Yixuan…
Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generationby SeungBum Ha, Taehwan Lee, Jiyoun…
Federated Learning of Dynamic Bayesian Network via Continuous Optimization from Time Series Databy Jianhong Chen,…