Summary of Revisiting Ensembling in One-shot Federated Learning, by Youssef Allouah et al.
Revisiting Ensembling in One-Shot Federated Learningby Youssef Allouah, Akash Dhasade, Rachid Guerraoui, Nirupam Gupta, Anne-Marie…
Revisiting Ensembling in One-Shot Federated Learningby Youssef Allouah, Akash Dhasade, Rachid Guerraoui, Nirupam Gupta, Anne-Marie…
WassFFed: Wasserstein Fair Federated Learningby Zhongxuan Han, Li Zhang, Chaochao Chen, Xiaolin Zheng, Fei Zheng,…
Sketched Adaptive Federated Deep Learning: A Sharp Convergence Analysisby Zhijie Chen, Qiaobo Li, Arindam BanerjeeFirst…
Model Partition and Resource Allocation for Split Learning in Vehicular Edge Networksby Lu Yu, Zheng…
Federated LLMs Fine-tuned with Adaptive Importance-Aware LoRAby Yang Su, Na Yan, Yansha DengFirst submitted to…
Using Diffusion Models as Generative Replay in Continual Federated Learning – What will Happen?by Yongsheng…
Client Contribution Normalization for Enhanced Federated Learningby Mayank Kumar Kundalwal, Anurag Saraswat, Ishan Mishra, Deepak…
Federated Split Learning for Human Activity Recognition with Differential Privacyby Josue Ndeko, Shaba Shaon, Aubrey…
TinyML NLP Approach for Semantic Wireless Sentiment Classificationby Ahmed Y. Radwan, Mohammad Shehab, Mohamed-Slim AlouiniFirst…
Personalized Hierarchical Split Federated Learning in Wireless Networksby Md-Ferdous Pervej, Andreas F. MolischFirst submitted to…