Alexander Jung

Jung, Alexander: Federated Learning How can we train powerful machine learning models together—across smartphones, hospitals, or financial institutions—without ever sharing raw data? This book delivers a compelling answer through the le...

bookline.hu/product/home...

Federated Learning How can we train powerful machine learning models together—across smartphones, hospitals, or financial institutions—without ever sharing raw data? This book delivers a compelling answer through the le...

books.google.fi/books/about/...

Federated Learning: From Theory to Practice This book offers a hands-on introduction to building and understanding federated learning (FL) systems. FL enables multiple devices -- such as smartphones, sensors, or local computers -- to collaborat...

arxiv.org/abs/2505.19183

in the best interest of the taxpayer?

CS-E4740 Federated Learning ('25) - YouTube This playlist contains material for the course CS-E4740 Federated Learning offered at Aalto University during spring 2025. Find more information at the cours...

youtube.com/playlist?lis...

Pace. Fratellanza. Amore.
Peace. Brotherhood. Love.
Frieden. Bruderschaft. Liebe.

Bravo Riccardo!

@viennaphilharmonic.bsky.social

@csaalto.bsky.social

132 Remote Machine Learning Engineer Jobs in Europe – Apply Now Explore top machine learning engineer remote jobs in Europe. Apply to flexible positions like deep learning engineer, NLP engineer, LLM engineer. Work anywhere.

Why should a capable ML graduate (probably wishing to have family) go for a poorly paid PhD position that mainly revolves around helping a Professor to crank out papers?

www.remoterocketship.com/country/euro...

YouTube video by Aalto University Machine learning for the people! – Alexander Jung

youtu.be/eBuL-GZAdz8?...

True academic leadership is not about defending reputations at any cost. It’s about fostering respect, addressing misconduct, and ensuring power is managed responsibly. Gray’s message serves as a blueprint for change. Thoughts? Drop them below. (8/8)

Gray’s letter is a call to action. Academic institutions and professional societies must prioritize accountability, transparency, and fairness over legacy protection. Failure to do so risks alienating the next generation of scholars. (7/8)

Professional societies like IEEE must do more than pay lip service to diversity and inclusion. They have a duty to foster ethical standards and hold members accountable. Silence and inaction discourage diverse talent from entering or staying in academia. (6/8)

Senior faculty shape academic culture. Gray noted that junior members felt pressured to support defenses they didn’t agree with. This power dynamic stifles open dialogue and perpetuates harmful norms. A healthy academic culture requires questioning power, not preserving it. (5/8)

Gray calls for due process—a fair investigation for both accuser and accused. Academic institutions, especially those receiving public funding, must ensure transparency, even when reputations are at stake. Shielding legacies undermines the credibility of the entire field. (4/8)

The letter centered on serious allegations of sexual harassment against a high-profile academic. Gray’s initial shock wasn’t just about the misconduct—it was about the "witch hunt" defense mounted by senior members, many of whom sought to shield the accused. (3/8)

In 2018, Professor Robert Gray from the IEEE Information Theory Society published an open letter to its Board of Governors, addressing power imbalances and academic misconduct. His story sheds light on how senior figures sometimes prioritize protecting legacies over truth. (2/8)

🧵 Power Imbalance in Academia: A Call for Accountability and Change

Academia’s hierarchical structure often fosters power imbalances, not just between faculty and students, but also among colleagues. These imbalances can create environments where misconduct is tolerated or excused. (1/8)

Maschinelles Lernen Dieses Buch betrachtet maschinelles Lernen als die rechnerische Umsetzung des wissenschaftlichen Prinzips und bietet eine einheitliche Abdeckung.

Mein @springer1842.bsky.social Buch betrachtet ML als die rechnerische Umsetzung des wissenschaftlichen Prinzips. Dieses Prinzip besteht darin, ein Modell an ein Phänomen (welches Daten erzeugt) kontinuierlich anzupassen.

link.springer.com/book/10.1007...

@imckrems.bsky.social

A heartfelt thank you to the Finnish taxpayers for funding #AaltoUniversity. Since starting my tenure track at @aaltouniversity.bsky.social in 2015, I’ve had the privilege of teaching thousands of students, guiding them on their academic journeys.

@vero.fi @hs.fi @csaalto.bsky.social

The @aaltouniversity.bsky.social Dictionary for #machinelearning:

aaltodictionaryofml.github.io/ADictML.pdf