Summary of Fssc: Federated Learning Of Transformer Neural Networks For Semantic Image Communication, by Yuna Yan et al.
FSSC: Federated Learning of Transformer Neural Networks for Semantic Image Communicationby Yuna Yan, Xin Zhang,…
Summary of A Federated Learning-friendly Approach For Parameter-efficient Fine-tuning Of Sam in 3d Segmentation, by Mothilal Asokan et al.
A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentationby Mothilal Asokan, Joseph…
Summary of Fedbchain: a Blockchain-enabled Federated Learning Framework For Improving Deepconvlstm with Comparative Strategy Insights, by Gaoxuan Li et al.
FedBChain: A Blockchain-enabled Federated Learning Framework for Improving DeepConvLSTM with Comparative Strategy Insightsby Gaoxuan Li,…
Summary of Federated Knowledge Recycling: Privacy-preserving Synthetic Data Sharing, by Eugenio Lomurno et al.
Federated Knowledge Recycling: Privacy-Preserving Synthetic Data Sharingby Eugenio Lomurno, Matteo MatteucciFirst submitted to arxiv on:…
Summary of Cellm: An Efficient Communication in Large Language Models Training For Federated Learning, by Raja Vavekanand et al.
CELLM: An Efficient Communication in Large Language Models Training for Federated Learningby Raja Vavekanand, Kira…
Summary of F-kans: Federated Kolmogorov-arnold Networks, by Engin Zeydan et al.
F-KANs: Federated Kolmogorov-Arnold Networksby Engin Zeydan, Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira, Marius Caus,…
Summary of Federated Learning Based Latent Factorization Of Tensors For Privacy-preserving Qos Prediction, by Shuai Zhong et al.
Federated Learning based Latent Factorization of Tensors for Privacy-Preserving QoS Predictionby Shuai Zhong, Zengtong Tang,…
Summary of Reputation-driven Asynchronous Federated Learning For Enhanced Trajectory Prediction with Blockchain, by Weiliang Chen et al.
Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchainby Weiliang Chen, Li Jia, Yang…
Summary of Enhancing Group Fairness in Federated Learning Through Personalization, by Yifan Yang et al.
Enhancing Group Fairness in Federated Learning through Personalizationby Yifan Yang, Ali Payani, Parinaz NaghizadehFirst submitted…
Summary of Fedar: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification, by Chutian Jiang et al.
FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectificationby Chutian Jiang,…