Call for Papers
专题1：Computers, Materials & Continua刊物: https://www.techscience.com/journal/cmc 投稿专属链接：https://ijs.tspsubmission.com/page/index.html#/submission?id=1§ionid=2939 图：专题征稿海报 专题 …
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Our paper "HeliFed:A Dual-Helix Framework for Noise-Robust Federated Learning" is accepted on Information Sciences（中科院1区，CCF B）. Congratulations to Haoyu Dong.
论文链接coming soon：HeliFed: A Dual-Helix Framework for Noise-Robust Federated Learning
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Our paper "FedDPKD:Federated learning with dual-phase knowledge distillation for label distribution skew" is available online on Information Processing & Management（中科院1区，CCF B）. Congratulations to Wenzhang Su.
论文链接：FedDPKD:Federated learning with dual-phase knowledge distillation for label distribution skew
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Our paper "DyCo-Student:Dynamic Co-evolutionary Student for Sparsely Annotated Object Detection" is accepted by 2025 5th International Conference on Artificial Intelligence, Automation and High Performance Computing. Congratulations to Qianqian Li.
Hefei, China during September 19-221, 2025.
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Our paper "FedCKD:KD-based Classifier Refinement for Non-IID Data in Federated Learning" is accepted by 2025 6th Information Communication Technologies Conference. Congratulations to Wenzhang Su.
Nanjing, China during August 22-24, 2025. Conference Website: http://www.ictc.net/ More about the Invited Speaker are here.
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TD3-based trajectory optimization for energy consumption minimization in UAV-assisted MEC system
Unmanned Aerial Vehicle (UAV) assisted Mobile Edge Computing (MEC) systems provide substantial benefits for task offloading and communication services, especially in situations …
Our paper "TD3-based trajectory optimization for energy consumption minimization in UAV-assisted MEC system" is published by Computer Networks (CCF B, 中科院二区). Congratulations to Bofan Yang.
论文链接：TD3-based trajectory optimization for energy consumption minimization in UAV-assisted MEC system
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TPE-BFL:Training Parameter Encryption scheme for Blockchain based Federated Learning System
Blockchain technology plays a pivotal role in addressing the single point of failure issues in federated learning systems, due to the immutable nature and decentralized …
