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June 2, 2026 by IEEE Potentials Society

IEEE Potentials Theme Issue on IoT Evolution IEEE Potential is the IEEE's global magazine for students, with a circulation of over 140,000 readers. Our upcoming themed issue will focus on IoT Innovation. We invite submissions that focus on these critical areas, encouraging authors to explore innovative ideas and solutions. We especially encourage IEEE volunteers at all … [Read more...] about

https://potentialsmagazine.ieee.org/2026/06/02/call-for-papers/

Science, engineering, technology, and culture

August 24, 2022 by

The purpose of this article is to provide an explanation for a paradoxical phenomenon that we observe on a daily basis—that is, the coexistence of sublime understanding and absurd ignorance. We would also like to discuss why we question our prejudices so rarely; why, after so much evidence in favor of scientific work, we tend to have more confidence in polls and opinions; why … [Read more...] about Science, engineering, technology, and culture

IEEE pre-university science, technology, engineering, and mathematics outreach: Share. Give back. Inspire

August 24, 2022 by

Did you know that, according to Wikipedia, Nicola Tesla became interested in demonstrations of electricity conducted by his physics professor? He later wrote that the demonstrations of these “mysterious phenomena” made him want “to know more of this wonderful force.” Exposing students to new technologies and how they work might be what it takes to spark a student’s curiosity … [Read more...] about IEEE pre-university science, technology, engineering, and mathematics outreach: Share. Give back. Inspire

Effective learning through prototyping boards

August 24, 2022 by

The study of engineering begins with the basics and fundamentals of programming, mechanics, and electronics. From many years, classroom teaching has not evolved much, and, quite often, the rewards for student learning seem to be vague and remote. The effectiveness of education skyrockets if fascinating outcomes of the learning are within reach For more about this article see … [Read more...] about Effective learning through prototyping boards

Leveling up: Innovation through the lens of video game luminaries

March 15, 2022 by Craig Causer

Whether it’s Pong, Super Mario Bros., or Fortnite, there’s something about playing your first video game that captures the imagination. Competition, active participation, and immersion in a new world have been hallmarks of the video game industry since its very beginning. Modern technology has helped create a Rampage-like gorilla of an industry, ringing up more than US$175 … [Read more...] about Leveling up: Innovation through the lens of video game luminaries

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About the Magazine

IEEE Potentials Magazine is the publication dedicated to undergraduate and graduate students and young professionals. IEEE Potentials explores career strategies, the latest in research, and important technical developments. Through its articles, it also relates theories to practical applications, highlights technology’s global impact, and generates international forums that foster the sharing of diverse ideas about the profession.

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Privacy-preserving distributed learning: Techniques, applications, and future challenges

The rapid increase in data generated by connected devices has created a pressing need for privacy-preserving techniques in distributed learning. This article examines methods that enable collaborative machine learning (ML) while maintaining data security and user privacy. Key approaches such as federated learning (FL), differential privacy (DP), secure multiparty computation (SMPC), and homomorphic encryption (HE) are analyzed for their unique capabilities and various applications. FL facilitates model training across decentralized data sources, ensuring data remain local, while DP mitigates privacy risks by adding controlled noise. SMPC and HE support secure computations on encrypted data, maintaining confidentiality during processing. Despite their effectiveness, these techniques face challenges related to computational complexity, scalability, and regulatory compliance. The article reviews current advancements, practical implementations, and future directions, emphasizing the need for optimized, accessible solutions to enhance data security in distributed systems.

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