Summary of Ccva-fl: Cross-client Variations Adaptive Federated Learning For Medical Imaging, by Sunny Gupta and Amit Sethi
CCVA-FL: Cross-Client Variations Adaptive Federated Learning for Medical Imagingby Sunny Gupta, Amit SethiFirst submitted to…
Summary of R-sfllm: Jamming Resilient Framework For Split Federated Learning with Large Language Models, by Aladin Djuhera et al.
R-SFLLM: Jamming Resilient Framework for Split Federated Learning with Large Language Modelsby Aladin Djuhera, Vlad…
Summary of Detection Of Global Anomalies on Distributed Iot Edges with Device-to-device Communication, by Hideya Ochiai and Riku Nishihata and Eisuke Tomiyama and Yuwei Sun and Hiroshi Esaki
Detection of Global Anomalies on Distributed IoT Edges with Device-to-Device Communicationby Hideya Ochiai, Riku Nishihata,…
Summary of Combining Federated Learning and Control: a Survey, by Jakob Weber et al.
Combining Federated Learning and Control: A Surveyby Jakob Weber, Markus Gurtner, Amadeus Lobe, Adrian Trachte,…
Summary of Harvesting Private Medical Images in Federated Learning Systems with Crafted Models, by Shanghao Shi et al.
Harvesting Private Medical Images in Federated Learning Systems with Crafted Modelsby Shanghao Shi, Md Shahedul…
Summary of Boba: Boosting Backdoor Detection Through Data Distribution Inference in Federated Learning, by Ning Wang et al.
BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learningby Ning Wang, Shanghao Shi,…
Summary of Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-optimal and Communication-efficient Algorithms For Convex Losses, by Changyu Gao et al.
Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex…
Summary of Provable Privacy Advantages Of Decentralized Federated Learning Via Distributed Optimization, by Wenrui Yu et al.
Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimizationby Wenrui Yu, Qiongxiu Li, Milan…
Summary of Novel Clustered Federated Learning Based on Local Loss, by Endong Gu et al.
Novel clustered federated learning based on local lossby Endong Gu, Yongxin Chen, Hao Wen, Xingju…
Summary of Distributed Deep Reinforcement Learning Based Gradient Quantization For Federated Learning Enabled Vehicle Edge Computing, by Cui Zhang et al.
Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computingby Cui…