Summary of Gradients Stand-in For Defending Deep Leakage in Federated Learning, by H. Yi et al.
Gradients Stand-in for Defending Deep Leakage in Federated Learningby H. Yi, H. Ren, C. Hu,…
Summary of Unlocking Fednl: Self-contained Compute-optimized Implementation, by Konstantin Burlachenko et al.
Unlocking FedNL: Self-Contained Compute-Optimized Implementationby Konstantin Burlachenko, Peter RichtárikFirst submitted to arxiv on: 11 Oct…
Summary of Gai-enabled Explainable Personalized Federated Semi-supervised Learning, by Yubo Peng et al.
GAI-Enabled Explainable Personalized Federated Semi-Supervised Learningby Yubo Peng, Feibo Jiang, Li Dong, Kezhi Wang, Kun…
Summary of Distdd: Distributed Data Distillation Aggregation Through Gradient Matching, by Peiran Wang et al.
DistDD: Distributed Data Distillation Aggregation through Gradient Matchingby Peiran Wang, Haohan WangFirst submitted to arxiv…
Summary of Randomized Asymmetric Chain Of Lora: the First Meaningful Theoretical Framework For Low-rank Adaptation, by Grigory Malinovsky et al.
Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptationby Grigory Malinovsky,…
Summary of Scalable and Resource-efficient Second-order Federated Learning Via Over-the-air Aggregation, by Abdulmomen Ghalkha et al.
Scalable and Resource-Efficient Second-Order Federated Learning via Over-the-Air Aggregationby Abdulmomen Ghalkha, Chaouki Ben Issaid, Mehdi…
Summary of Fedep: Tailoring Attention to Heterogeneous Data Distribution with Entropy Pooling For Decentralized Federated Learning, by Chao Feng et al.
FedEP: Tailoring Attention to Heterogeneous Data Distribution with Entropy Pooling for Decentralized Federated Learningby Chao…
Summary of Boosting the Performance Of Decentralized Federated Learning Via Catalyst Acceleration, by Qinglun Li et al.
Boosting the Performance of Decentralized Federated Learning via Catalyst Accelerationby Qinglun Li, Miao Zhang, Yingqi…
Summary of Benchmarking Data Heterogeneity Evaluation Approaches For Personalized Federated Learning, by Zhilong Li et al.
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learningby Zhilong Li, Xiaohu Wu, Xiaoli Tang,…
Summary of Distributionally Robust Clustered Federated Learning: a Case Study in Healthcare, by Xenia Konti et al.
Distributionally Robust Clustered Federated Learning: A Case Study in Healthcareby Xenia Konti, Hans Riess, Manos…