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SPinS-FL: Communication-Efficient Federated Subnetwork Learning
2023 IEEE 20th Consumer Communications & Networking Conference (CCNC), 2023Masayoshi Tsutsui +1 more
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FL-PERF: Predicting TCP Throughput with Federated Learning
GLOBECOM 2023 - 2023 IEEE Global Communications Conference, 2023Han Nay Aung, Hiroyuki Ohsaki
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JoVe-FL: A Joint-Embedding Vertical Federated Learning Framework
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023Maria Hartmann +3 more
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JADE-FL: Joint Adaptive Defense and Encryption for Federated Learning
2025 3rd International Conference on Foundation and Large Language Models (FLLM)Federated Learning (FL) empowers the collaborative development of sophisticated machine learning models across a network of distributed devices without the exchange of raw data, all while ensuring the utmost protection of sensitive data. By enabling this decentralised approach, FL not only fosters innovation and efficiency but also enables the joint ...
Dembani, Rahool +4 more
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FL-PATE: Differentially Private Federated Learning with Knowledge Transfer
2021 IEEE Global Communications Conference (GLOBECOM), 2021Yanghe Pan, Jianbing Ni, Zhou Su
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FL-TIA: Novel Time Inference Attacks on Federated Learning
2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2023Chamara Sandeepa +3 more
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PI-FL: Personalized and Incentivized Federated Learning.
CoRR, 2023Ahmad Faraz Khan 0001 +7 more
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A Comprehensive Survey of Privacy-preserving Federated Learning
ACM Computing Surveys, 2022Xuefei Yin, Yanming Zhu, Jiankun Hu
exaly
Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges
IEEE Communications Surveys and Tutorials, 2021Walid Saad, Ekram Hossain, Zhu Han
exaly
VCD-FL: Verifiable, Collusion-Resistant, and Dynamic Federated Learning
IEEE Transactions on Information Forensics and Security, 2023Sheng Gao 0002 +4 more
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