Summary of Federated Learning For Face Recognition Via Intra-subject Self-supervised Learning, by Hansol Kim et al.
Federated Learning for Face Recognition via Intra-subject Self-supervised Learningby Hansol Kim, Hoyeol Choi, Youngjun KwakFirst…
Federated Learning for Face Recognition via Intra-subject Self-supervised Learningby Hansol Kim, Hoyeol Choi, Youngjun KwakFirst…
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairnessby Shengkun Zhu, Jinshan Zeng, Sheng…
Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformationby Xinghao Wu, Jianwei Niu, Xuefeng…
A New Theoretical Perspective on Data Heterogeneity in Federated Optimizationby Jiayi Wang, Shiqiang Wang, Rong-Rong…
Poisoning with A Pill: Circumventing Detection in Federated Learningby Hanxi Guo, Hao Wang, Tao Song,…
Tackling Selfish Clients in Federated Learningby Andrea Augello, Ashish Gupta, Giuseppe Lo Re, Sajal K.…
Resource-Efficient Federated Multimodal Learning via Layer-wise and Progressive Trainingby Ye Lin Tun, Chu Myaet Thwal,…
The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learningby Xinghao Wu, Xuefeng…
PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learningby Luca Corbucci, Mikko A Heikkila, David…