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