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This week ICLR 2026 DPML, Fan Vincent Mo presents our paper on “Layer-wise Characterization of Latent Information Leakage in Federated Learning”. Schedule: dp-ml.github.io/2021-workshop-… Paper: arxiv.org/abs/2010.08762

Due to several requests, we are extending the MAISP deadline ACM MobiSys to 14/5. If you work on Security/Privacy of ML on mobile/edge/network devices, check it out: maisp.gitlab.io Ilias Leontiadis,Kleomenis Katevas,Cristian Canton Great keynotes/program! concordia-h2020.eu ACCORDION Project H2020

Check our codes, for running Federated Learning with (both the server's and the client's) trusted execution environments! github.com/mofanv/PPFL

If you work on privacy-preserving ML and especially Federated Learning, check out our paper and code that we made public ahead of our ACM MobiSys 2021 presentation! Powered by: Telefónica Scientific Research, concordia-h2020.eu, ACCORDION Project H2020, PIMCity Project EU H2020 #dataprivacy #CyberSecurity

Check our teaser video of our latest work "PPFL: Privacy-preserving Federated Learning with Trusted Execution" to be presented on June 30th at #MobiSys2021. Preprint (arxiv.org/abs/2104.14380) and Code (github.com/mofanv/PPFL) are both available online.

ACM SIGMOBILE MobiSys 2021 has started. Heartiest Congratulations to the author of the two best paper awards this year. Well done! 🍷Now, on to the first keynote by Shree K. Nayar (Columbia) on "Future Cameras: Redefining the Image." Nice start😀

I'm very excited and really honored to get the best paper award. Massive thanks to all the authors and my group/teams. Imperial SysAL Telefónica Scientific Research

I should not trust my Federated Learning provider.But I should still trust my coauthors Fan Vincent Mo,Kleomenis Katevas,Hamed,@_EduardMarin_ & Diego Perino! Feels great to get best paper ACM MobiSys for PPFL privacy-preserving FL system! Telefónica Scientific Research concordia-h2020.eu ACCORDION Project H2020

How to cope with paper rejection? Rejection SUCKS! It feels awful that months of hard work did not pay off. 😭 How do we hold a positive outlook when dealing with rejection? A thread of lessons (learned from many rejections) 🧵

Over the past 5 years, I’ve read >1,000 letters of recommendation to grad programs in MIT - mostly EECS, Media Lab, and MechE. Since it's letter-writing season, here is some concrete advice for anyone writing letters based on my experience

Excited about our upcoming work on "battery-free machine learning for the ocean!", just accepted to ACM HotMobile’24 2022 - a cross-pond collaboration between our groups MIT Signal Kinetics Group and Imperial SysAL. Stay tuned!

Super excited to start my internship at Nokia Bell Labs Cambridge today! I will be working on device intelligence in Akhil Mathur and Fahim Kawsar's team. (meanwhile, I have been using my Nokia phone for 15 years 😃)

#EarComp is back at UbiComp 2022! We’re so excited to announce the Call for Papers for the 3rd edition of the workshop on Earable Computing!🎧🦻Check out the call at: esense.io/earcomp2022 #earable #ubicomp2022

Too many attacks breaking the privacy-by-design principle in federated/collaborative learning? All-in-One. Check out our paper analyzing the private information leakage from neural network gradients using information theory. arxiv.org/pdf/2105.13929…

Great progress towards efficient and adaptive FL on ultra-constrained devices. Work led by Fan Vincent Mo during his internship at Bell Labs.

Have you ever wondered how we can salvage federated learning? 27 March at 11:15am GMT, Hamed will utilize Trusted Execution Environments on clients for local training, and on servers for secure aggregation, to hide model updates from adversaries.

I hit a bug in the Attention formula that’s been overlooked for 8+ years. All Transformer models (GPT, LLaMA, etc) are affected. Researchers isolated the bug last month – but they missed a simple solution… Why LLM designers should stop using Softmax 👇 evanmiller.org/attention-is-o…

The longer people are in academia, the more they realize that when reading papers it's best to ignore Intro, Discussion etc. and just look at Methods and Results journals.plos.org/plosone/articl…