Results 51 to 60 of about 91,570 (234)

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

Research on federated learning approach based on local differential privacy

Tongxin xuebao, 2022
As a type of collaborative machine learning framework, federated learning is capable of preserving private data from participants while training the data into useful models.Nevertheless, from a viewpoint of information theory, it is still vulnerable for ...
Haiyan KANG, Yuanrui JI
doaj   +2 more sources

A Truthful Reverse Auction Mechanism for Federated Learning Utility Maximization Resource Allocation in Edge–Cloud Collaboration

Mathematics, 2023
Federated learning is a promising technique in cloud computing and edge computing environments, and designing a reasonable resource allocation scheme for federated learning is particularly important.
Linjie Liu, Jixian Zhang, Zhemin Wang, Jia Xu   +3 more
doaj   +1 more source

Meta-federated learning

Due to its distributed methodology alongside its privacy-preserving features, Federated Learning (FL) is vulnerable to training time adversarial attacks. In this study, our focus is on backdoor attacks in which the adversary's goal is to cause targeted misclassifications for inputs embedded with an adversarial trigger while maintaining an acceptable ...
Aramoon, Omid, Chen, Pin-Yu, Qu, Gang, Tian, Yuan   +3 more
openaire   +2 more sources

Challenges and Future Directions in Assessing the Quality and Completeness of Advanced Materials Safety Data for Re‐Usability: A Position Paper From the Nanosafety Community

Advanced Sustainable Systems, EarlyView.
Nanosafety data provide a guiding example for establishing best practices in data management, aligning with FAIR principles and quality criteria. This review explores existing quality assessment approaches for reliability, relevance, and completeness, emphasizing the need for harmonization and adaptation to nanomaterials and advanced materials. The aim
Verónica I. Dumit, Irini Furxhi, Penny Nymark, Antreas Afantitis, Ammar Ammar, Monica J. B. Amorim, Dalila Antunes, Svetlana Avramova, Chiara L. Battistelli, Gianpietro Basei, Cecilia Bossa, Emil Cimpan, Mihaela Roxana Cimpan, Dmitri Ciornii, Anna Costa, Camilla Delpivo, Maria Dusinska, Ana Sofia Fonseca, Steffi Friedrichs, Vasile‐Dan Hodoroaba, Danail Hristozov, Panagiotis Isigonis, Nina Jeliazkova, Nikolay Kochev, Eva Kranjc, Dieter Maier, Georgia Melagraki, Anastasios G. Papadiamantis, Tomasz Puzyn, Hubert Rauscher, Katie Reilly, Araceli Sánchez Jiménez, Janeck J. Scott‐Fordsmand, Neeraj Shandilya, Hyun Kil Shin, Gergana Tancheva, Jeaphianne P. M. van Rijn, Egon L. Willighagen, Ewelina Wyrzykowska, Martine I. Bakker, Damjana Drobne, Thomas E. Exner, Martin Himly, Iseult Lynch   +43 more
wiley   +1 more source

Dynamic Asynchronous Anti Poisoning Federated Deep Learning with Blockchain-Based Reputation-Aware Solutions

Sensors, 2022
As promising privacy-preserving machine learning technology, federated learning enables multiple clients to train the joint global model via sharing model parameters.
Zunming Chen, Hongyan Cui, Ensen Wu, Xi Yu   +3 more
doaj   +1 more source

Nurr1 Orchestrates Claustrum Development and Functionality

Advanced Science, EarlyView.
Nurr1 (Nr4a2) is the master transcription factor to control claustrum morphogenesis and cell fate decision postmitotically by inhibiting intracellular G‐protein signaling. Nurr1 deficiency alters the transcriptomic profiles of subcortical claustral neurons into neocortical insular neurons, resulting in defected claustrum development, impaired axonal ...
Kuo Yan, Andrew G. Newman, Pauline Lange, Susanne Müller, Marco Foddis, Stefan Paul Koch, Philipp Böhm‐Sturm, Maron Mantwill, Carsten Finke, Penghui Deng, Melissa Long, Dietmar Schmitz, Victor Tarabykin   +12 more
wiley   +1 more source

A dynamic incentive and reputation mechanism for energy-efficient federated learning in 6G

Digital Communications and Networks, 2023
As 5G becomes commercial, researchers have turned attention toward the Sixth-Generation (6G) network with the vision of connecting intelligence in a green energy-efficient manner.
Ye Zhu, Zhiqiang Liu, Peng Wang, Chenglie Du   +3 more
doaj   +1 more source

Wearable and Implantable Devices for Continuous Monitoring of Muscle Physiological Activity: A Review

Advanced Science, EarlyView.
Recent advances in materials and device engineering enable continuous, real‐time monitoring of muscle activity via wearable and implantable systems. This review critically summarizes emerging technologies for tracking electrophysiological, biomechanical, and oxygenation signals, outlines fundamental principles, and highlights key challenges and ...
Zhengwei Liao, Ata Golparvar, Mohammad Javad Bathaei, Filipe Arroyo Cardoso, Clementine M. Boutry   +4 more
wiley   +1 more source

Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State-of-the-Art and Future Directions

Sensors, 2022
Federated learning (FL) and split learning (SL) are two emerging collaborative learning methods that may greatly facilitate ubiquitous intelligence in the Internet of Things (IoT).
Qiang Duan, Shijing Hu, Ruijun Deng, Zhihui Lu   +3 more
doaj   +1 more source