Local Back-Propagation for Forward-Forward Networks: Independent Unsupervised Layer-Wise Training by Taewook Hwang, Hyein Seo, Sangkeun Jung

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Federated Learning for Frequency-Modulated Continuous Wave Radar Gesture Recognition for Heterogeneous Clients by Tobias Sukianto, Matthias Wagner, Sarah Seifi, Maximilian Strobel, Cecilia Carbonelli

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Federated Learning for Human Activity Recognition: Overview, Advances, and Challenges by Ons Aouedi, Alessio Sacco, Latif U. Khan, Dinh C. Nguyen, Mohsen Guizani

Subjects: “…Federated learning…”
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FedMEM: Adaptive Personalized Federated Learning Framework for Heterogeneous Mobile Edge Environments by Chen Ximing, He Xilong, Cheng Du, Wu Tiejun, Tian Qingyu, Chen Rongrong, Qiu Jing

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Edge computing privacy protection method based on blockchain and federated learning by Chen FANG, Yuanbo GUO, Yifeng WANG, Yongjin HU, Jiali MA, Han ZHANG, Yangyang HU

Subjects: “…federated learning…”
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Advances in Application of Federated Machine Learning for Oncology and Cancer Diagnosis by Mohammad Nasajpour, Seyedamin Pouriyeh, Reza M. Parizi, Meng Han, Fatemeh Mosaiyebzadeh, Yixin Xie, Liyuan Liu, Daniel Macêdo Batista

Subjects: “…federated learning…”
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A privacy-preserving dependable deep federated learning model for identifying new infections from genome sequences by Sk. Tanzir Mehedi, Lway Faisal Abdulrazak, Kawsar Ahmed, Muhammad Shahin Uddin, Francis M. Bui, Li Chen, Mohammad Ali Moni, Fahad Ahmed Al-Zahrani

Subjects: “…Deep federated learning…”
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MEFL: Meta-Equilibrize Federated Learning for Imbalanced Data in IoT by Jialu Tang, Yali Gao, Xiaoyong Li, Jia Jia

Subjects: “…federated learning…”
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Enhanced federated learning for secure medical data collaboration by Benjamin Appiah, Isaac Osei, Bill K. Frimpong, Daniel Commey, Kwabena Owusu-Agymang, Gabriel Assamah

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Mobility Prediction and Resource-Aware Client Selection for Federated Learning in IoT by Rana Albelaihi

Subjects: “…federated learning…”
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Telemedicine data secure sharing scheme based on heterogeneous federated learning by Nansen Wang, Jianing Zhang, Ju Huang, Wei Ou, Wenbao Han, Qionglu Zhang

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Blockchain-Enabled Federated Learning in Healthcare: Survey and State-of-the-Art by Nasim Nezhadsistani, Naghmeh S. Moayedian, Burkhard Stiller

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From Sensors to Data Intelligence: Leveraging IoT, Cloud, and Edge Computing with AI by Ilenia Ficili, Maurizio Giacobbe, Giuseppe Tricomi, Antonio Puliafito

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Privacy-Preserving Diabetes and Heart Disease Prediction via Federated Learning and WCO by Sachikanta Dash, Sasmita Padhy, Preetam Suman, Sandip Mal, Lokesh Malviya, Amrit Suman, Jaydeep Kishore

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Backdoor Attack to Giant Model in Fragment-Sharing Federated Learning by Senmao Qi, Hao Ma, Yifei Zou, Yuan Yuan, Zhenzhen Xie, Peng Li, Xiuzhen Cheng

Subjects: “…federated learning (fl)…”
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Class-Hidden Client-Side Watermarking in Federated Learning by Weitong Chen, Chi Zhang, Wei Zhang, Jie Cai

Subjects: “…federated learning…”
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Client grouping and time-sharing scheduling for asynchronous federated learning in heterogeneous edge computing environment by Qianpiao MA, Qingmin JIA, Jianchun LIU, Hongli XU, Renchao XIE, Tao HUANG

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Detecting Emerging DGA Malware in Federated Environments via Variational Autoencoder-Based Clustering and Resource-Aware Client Selection by Ma Viet Duc, Pham Minh Dang, Tran Thu Phuong, Truong Duc Truong, Vu Hai, Nguyen Huu Thanh

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Strategies for Reducing the Communication and Computation Costs in Cross-Silo Federated Learning: A Comprehensive Review by Vineetha Pais, Santhosha Rao, Balachandra Muniyal

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FedSVD: Asynchronous Federated Learning With Stale Weight Vector Decomposition by Giwon Sur, Hyejin Kim, Seunghyun Yoon, Hyuk Lim

Subjects: “…Federated learning…”
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