Summary of Embracing Federated Learning: Enabling Weak Client Participation Via Partial Model Training, by Sunwoo Lee et al.
Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Trainingby Sunwoo Lee, Tuo Zhang,…
Summary of Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: a Two-phase Deep Reinforcement Learning Approach, by Xiaojing Chen et al.
Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement…
Summary of Flocora: Federated Learning Compression with Low-rank Adaptation, by Lucas Grativol Ribeiro et al.
FLoCoRA: Federated learning compression with low-rank adaptationby Lucas Grativol Ribeiro, Mathieu Leonardon, Guillaume Muller, Virginie…
Summary of Defending Against Sophisticated Poisoning Attacks with Rl-based Aggregation in Federated Learning, by Yujing Wang et al.
Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learningby Yujing Wang, Hainan Zhang,…
Summary of Bayes’ Capacity As a Measure For Reconstruction Attacks in Federated Learning, by Sayan Biswas et al.
Bayes’ capacity as a measure for reconstruction attacks in federated learningby Sayan Biswas, Mark Dras,…
Summary of A Resource-adaptive Approach For Federated Learning Under Resource-constrained Environments, by Ruirui Zhang et al.
A Resource-Adaptive Approach for Federated Learning under Resource-Constrained Environmentsby Ruirui Zhang, Xingze Wu, Yifei Zou,…
Summary of Communication-efficient Federated Knowledge Graph Embedding with Entity-wise Top-k Sparsification, by Xiaoxiong Zhang et al.
Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsificationby Xiaoxiong Zhang, Zhiwei Zeng, Xin Zhou,…
Summary of Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation, by Nikolas Koutsoubis et al.
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimationby Nikolas Koutsoubis, Yasin Yilmaz, Ravi…
Summary of Synergizing Foundation Models and Federated Learning: a Survey, by Shenghui Li et al.
Synergizing Foundation Models and Federated Learning: A Surveyby Shenghui Li, Fanghua Ye, Meng Fang, Jiaxu…
Summary of Federated Learning with a Single Shared Image, by Sunny Soni et al.
Federated Learning with a Single Shared Imageby Sunny Soni, Aaqib Saeed, Yuki M. AsanoFirst submitted…