Summary of From Federated Learning to Quantum Federated Learning For Space-air-ground Integrated Networks, by Vu Khanh Quy et al.
From Federated Learning to Quantum Federated Learning for Space-Air-Ground Integrated Networksby Vu Khanh Quy, Nguyen…
Summary of Bacsa: a Bias-aware Client Selection Algorithm For Privacy-preserving Federated Learning in Wireless Healthcare Networks, by Sushilkumar Yadav and Irem Bor-yaliniz
BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networksby Sushilkumar…
Summary of Privacy-preserving Federated Learning with Differentially Private Hyperdimensional Computing, by Fardin Jalil Piran et al.
Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computingby Fardin Jalil Piran, Zhiling Chen, Mohsen Imani,…
Summary of Federated Learning with Relative Fairness, by Shogo Nakakita et al.
Federated Learning with Relative Fairnessby Shogo Nakakita, Tatsuya Kaneko, Shinya Takamaeda-Yamazaki, Masaaki ImaizumiFirst submitted to…
Summary of Identify Backdoored Model in Federated Learning Via Individual Unlearning, by Jiahao Xu et al.
Identify Backdoored Model in Federated Learning via Individual Unlearningby Jiahao Xu, Zikai Zhang, Rui HuFirst…
Summary of C2a: Client-customized Adaptation For Parameter-efficient Federated Learning, by Yeachan Kim et al.
C2A: Client-Customized Adaptation for Parameter-Efficient Federated Learningby Yeachan Kim, Junho Kim, Wing-Lam Mok, Jun-Hyung Park,…
Summary of Personalized Federated Learning Via Feature Distribution Adaptation, by Connor J. Mclaughlin et al.
Personalized Federated Learning via Feature Distribution Adaptationby Connor J. Mclaughlin, Lili SuFirst submitted to arxiv…
Summary of Space For Improvement: Navigating the Design Space For Federated Learning in Satellite Constellations, by Grace Kim et al.
Space for Improvement: Navigating the Design Space for Federated Learning in Satellite Constellationsby Grace Kim,…
Summary of On Sampling Strategies For Spectral Model Sharding, by Denis Korzhenkov and Christos Louizos
On Sampling Strategies for Spectral Model Shardingby Denis Korzhenkov, Christos LouizosFirst submitted to arxiv on:…
Summary of Conformalized Prediction Of Post-fault Voltage Trajectories Using Pre-trained and Finetuned Attention-driven Neural Operators, by Amirhossein Mollaali et al.
Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operatorsby Amirhossein Mollaali,…