pfl-research: simulation framework for accelerating research in Private Federated Learningby Filip Granqvist, Congzheng Song, Áine…
Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learningby Emre Ozfatura,…
Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learningby Yan Kang, Ziyao Ren, Lixin Fan,…
Vanishing Variance Problem in Fully Decentralized Neural-Network Systemsby Yongding Tian, Zaid Al-Ars, Maksim Kitsak, Peter…
Prompt Public Large Language Models to Synthesize Data for Private On-device Applicationsby Shanshan Wu, Zheng…
Distributionally Robust Alignment for Medical Federated Vision-Language Pre-training Under Data Heterogeneityby Zitao Shuai, Chenwei Wu,…
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approachby Qingxiang Liu, Sheng…
Approximate Gradient Coding for Privacy-Flexible Federated Learning with Non-IID Databy Okko Makkonen, Sampo Niemelä, Camilla…
Federated Unlearning for Human Activity Recognitionby Kongyang Chen, Dongping zhang, Yaping Chai, Weibin Zhang, Shaowei…
Exploring Lightweight Federated Learning for Distributed Load Forecastingby Abhishek Duttagupta, Jin Zhao, Shanker ShreejithFirst submitted…