Summary of Feature Diversification and Adaptation For Federated Domain Generalization, by Seunghan Yang et al.
Feature Diversification and Adaptation for Federated Domain Generalizationby Seunghan Yang, Seokeon Choi, Hyunsin Park, Sungha…
Summary of Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory, by Jiajun Liang et al.
Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theoryby Jiajun Liang, Qian Zhang, Wei…
Summary of Stabilized Proximal-point Methods For Federated Optimization, by Xiaowen Jiang et al.
Stabilized Proximal-Point Methods for Federated Optimizationby Xiaowen Jiang, Anton Rodomanov, Sebastian U. StichFirst submitted to…
Summary of Trust and Resilience in Federated Learning Through Smart Contracts Enabled Decentralized Systems, by Lorenzo Cassano et al.
Trust and Resilience in Federated Learning Through Smart Contracts Enabled Decentralized Systemsby Lorenzo Cassano, Jacopo…
Summary of Fedmrl: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning For Medical Imaging, by Pranab Sahoo et al.
FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imagingby Pranab Sahoo, Ashutosh…
Summary of Mjolnir: Breaking the Shield Of Perturbation-protected Gradients Via Adaptive Diffusion, by Xuan Liu et al.
Mjolnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusionby Xuan Liu, Siqi Cai, Qihua…
Summary of Fedtsa: a Cluster-based Two-stage Aggregation Method For Model-heterogeneous Federated Learning, by Boyu Fan et al.
FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learningby Boyu Fan, Chenrui Wu, Xiang…
Summary of Impact Of Network Topology on Byzantine Resilience in Decentralized Federated Learning, by Siddhartha Bhattacharya et al.
Impact of Network Topology on Byzantine Resilience in Decentralized Federated Learningby Siddhartha Bhattacharya, Daniel Helo,…
Summary of Synthetic Data Aided Federated Learning Using Foundation Models, by Fatima Abacha et al.
Synthetic Data Aided Federated Learning Using Foundation Modelsby Fatima Abacha, Sin G. Teo, Lucas C.…
Summary of Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-constrained Iot Clients, by Shaoyuan Chen et al.
Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-Constrained IoT Clientsby Shaoyuan Chen, Linlin You,…