Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clientsby Mengmeng Ma, Tang Li,…
A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learningby Xiaojin Zhang, Mingcong Xu,…
Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learningby Lin Wang, Yang Chen, Yongxin…
FedSat: A Statistical Aggregation Approach for Class Imbalanced Clients in Federated Learningby Sujit Chowdhury, Raju…
Support Vector Based Anomaly Detection in Federated Learningby Massimo Frasson, Dario MalchiodiFirst submitted to arxiv…
Effective Heterogeneous Federated Learning via Efficient Hypernetwork-based Weight Generationby Yujin Shin, Kichang Lee, Sungmin Lee,…
Towards Federated RLHF with Aggregated Client Preference for LLMsby Feijie Wu, Xiaoze Liu, Haoyu Wang,…
Towards Federated Learning with On-device Training and Communication in 8-bit Floating Pointby Bokun Wang, Axel…
Optimizing Age of Information in Vehicular Edge Computing with Federated Graph Neural Network Multi-Agent Reinforcement…
Contribution Evaluation of Heterogeneous Participants in Federated Learning via Prototypical Representationsby Qi Guo, Minghao Yao,…