Summary of End-to-end Verifiable Decentralized Federated Learning, by Chaehyeon Lee et al.
End-to-End Verifiable Decentralized Federated Learningby Chaehyeon Lee, Jonathan Heiss, Stefan Tai, James Won-Ki HongFirst submitted…
Summary of Towards Multi-modal Transformers in Federated Learning, by Guangyu Sun et al.
Towards Multi-modal Transformers in Federated Learningby Guangyu Sun, Matias Mendieta, Aritra Dutta, Xin Li, Chen…
Summary of Kdk: a Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning, by Marco Arazzi et al.
KDk: A Defense Mechanism Against Label Inference Attacks in Vertical Federated Learningby Marco Arazzi, Serena…
Summary of Fedeval-llm: Federated Evaluation Of Large Language Models on Downstream Tasks with Collective Wisdom, by Yuanqin He et al.
FedEval-LLM: Federated Evaluation of Large Language Models on Downstream Tasks with Collective Wisdomby Yuanqin He,…
Summary of The Dog Walking Theory: Rethinking Convergence in Federated Learning, by Kun Zhai et al.
The Dog Walking Theory: Rethinking Convergence in Federated Learningby Kun Zhai, Yifeng Gao, Xingjun Ma,…
Summary of Fedmid: a Data-free Method For Using Intermediate Outputs As a Defense Mechanism Against Poisoning Attacks in Federated Learning, by Sungwon Han et al.
FedMID: A Data-Free Method for Using Intermediate Outputs as a Defense Mechanism Against Poisoning Attacks…
Summary of One-shot Sequential Federated Learning For Non-iid Data by Enhancing Local Model Diversity, By Naibo Wang et al.
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversityby Naibo Wang, Yuchen…
Summary of Improved Generalization Bounds For Communication Efficient Federated Learning, by Peyman Gholami et al.
Improved Generalization Bounds for Communication Efficient Federated Learningby Peyman Gholami, Hulya SeferogluFirst submitted to arxiv…
Summary of A Federated Learning Approach to Privacy Preserving Offensive Language Identification, by Marcos Zampieri et al.
A Federated Learning Approach to Privacy Preserving Offensive Language Identificationby Marcos Zampieri, Damith Premasiri, Tharindu…
Summary of Fedpft: Federated Proxy Fine-tuning Of Foundation Models, by Zhaopeng Peng et al.
FedPFT: Federated Proxy Fine-Tuning of Foundation Modelsby Zhaopeng Peng, Xiaoliang Fan, Yufan Chen, Zheng Wang,…