Summary of Fedcert: Federated Accuracy Certification, by Minh Hieu Nguyen et al.
FedCert: Federated Accuracy Certificationby Minh Hieu Nguyen, Huu Tien Nguyen, Trung Thanh Nguyen, Manh Duong…
Summary of Fedmac: Tackling Partial-modality Missing in Federated Learning with Cross-modal Aggregation and Contrastive Regularization, by Manh Duong Nguyen et al.
FedMAC: Tackling Partial-Modality Missing in Federated Learning with Cross-Modal Aggregation and Contrastive Regularizationby Manh Duong…
Summary of Towards Layer-wise Personalized Federated Learning: Adaptive Layer Disentanglement Via Conflicting Gradients, by Minh Duong Nguyen et al.
Towards Layer-Wise Personalized Federated Learning: Adaptive Layer Disentanglement via Conflicting Gradientsby Minh Duong Nguyen, Khanh…
Summary of Data Similarity-based One-shot Clustering For Multi-task Hierarchical Federated Learning, by Abdulmoneam Ali et al.
Data Similarity-Based One-Shot Clustering for Multi-Task Hierarchical Federated Learningby Abdulmoneam Ali, Ahmed ArafaFirst submitted to…
Summary of Personalized Federated Learning For Generative Ai-assisted Semantic Communications, by Yubo Peng et al.
Personalized Federated Learning for Generative AI-Assisted Semantic Communicationsby Yubo Peng, Feibo Jiang, Li Dong, Kezhi…
Summary of Fedscalar: a Communication Efficient Federated Learning, by M. Rostami et al.
FedScalar: A Communication efficient Federated Learningby M. Rostami, S. S. KiaFirst submitted to arxiv on:…
Summary of Addressing Data Heterogeneity in Federated Learning with Adaptive Normalization-free Feature Recalibration, by Vasilis Siomos et al.
Addressing Data Heterogeneity in Federated Learning with Adaptive Normalization-Free Feature Recalibrationby Vasilis Siomos, Sergio Naval-Marimont,…
Summary of Eab-fl: Exacerbating Algorithmic Bias Through Model Poisoning Attacks in Federated Learning, by Syed Irfan Ali Meerza et al.
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learningby Syed Irfan Ali Meerza,…
Summary of Ntk-dfl: Enhancing Decentralized Federated Learning in Heterogeneous Settings Via Neural Tangent Kernel, by Gabriel Thompson et al.
NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernelby Gabriel Thompson, Kai…
Summary of Selective Aggregation For Low-rank Adaptation in Federated Learning, by Pengxin Guo et al.
Selective Aggregation for Low-Rank Adaptation in Federated Learningby Pengxin Guo, Shuang Zeng, Yanran Wang, Huijie…