Summary of Neurips 2023 Competition: Privacy Preserving Federated Learning Document Vqa, by Marlon Tobaben et al.
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQAby Marlon Tobaben, Mohamed Ali Souibgui, Rubèn…
Summary of Photon: Federated Llm Pre-training, by Lorenzo Sani et al.
Photon: Federated LLM Pre-Trainingby Lorenzo Sani, Alex Iacob, Zeyu Cao, Royson Lee, Bill Marino, Yan…
Summary of Federated Gnns For Eeg-based Stroke Assessment, by Andrea Protani et al.
Federated GNNs for EEG-Based Stroke Assessmentby Andrea Protani, Lorenzo Giusti, Albert Sund Aillet, Chiara Iacovelli,…
Summary of Fedmoe-da: Federated Mixture Of Experts Via Domain Aware Fine-grained Aggregation, by Ziwei Zhan et al.
FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained Aggregationby Ziwei Zhan, Wenkuan Zhao, Yuanqing…
Summary of Fedrema: Improving Personalized Federated Learning Via Leveraging the Most Relevant Clients, by Han Liang et al.
FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clientsby Han Liang, Ziwei Zhan,…
Summary of Anomalous Client Detection in Federated Learning, by Dipanwita Thakur et al.
Anomalous Client Detection in Federated Learningby Dipanwita Thakur, Antonella Guzzo, Giancarlo FortinoFirst submitted to arxiv…
Summary of Analysis Of Regularized Federated Learning, by Langming Liu and Dingxuan Zhou
Analysis of regularized federated learningby Langming Liu, Dingxuan ZhouFirst submitted to arxiv on: 3 Nov…
Summary of Federated Learning Clients Clustering with Adaptation to Data Drifts, by Minghao Li (1) et al.
Federated Learning Clients Clustering with Adaptation to Data Driftsby Minghao Li, Dmitrii Avdiukhin, Rana Shahout,…
Summary of Boosting Federated Learning with Fedentopt: Mitigating Label Skew by Entropy-based Client Selection, By Andreas Lutz et al.
Boosting Federated Learning with FedEntOpt: Mitigating Label Skew by Entropy-Based Client Selectionby Andreas Lutz, Gabriele…
Summary of From Federated Learning to Quantum Federated Learning For Space-air-ground Integrated Networks, by Vu Khanh Quy et al.
From Federated Learning to Quantum Federated Learning for Space-Air-Ground Integrated Networksby Vu Khanh Quy, Nguyen…