#MLSys2022 #FL Federated Learning workshop co-located with MLSys2022 is still accepting (virtual) poster submissions. We have 5+ keynote speakers (Salman Avestimehr; Yiran Chen; Yonina Eldar; Peter Richtarik; Wotao Yin), FL package live demo, more invited speakers! Pin-Yu Chen

ArXiv arxiv.org/abs/2206.03996: Sharpness-aware minimization (SAM) for Model-agnostic meta learning (MAML). Computation-efficient variant outperforms MAML baselines bz +12% accuracy on Mini-Imagenet.

If you are attending MLSys Conference #MLSys2022, please check out our workshop on "Cross-Community Federated Learning: Algorithms, Systems and Co-designs" tomorrow (Sep. 1st) and meet Tianyi Chen We have an amazing set of speakers, demos, and posters! Webpage crossfl2022.github.io

Here is the recording of the workshop: youtu.be/0mV85uGMpXA

President Schmidt: “Greatness in a university takes three things: brilliant people, sufficient resources, and a shared sense of purpose.” #RPIForward

Grateful to receive an Amazon Research Award for my proposal "Automating Decentralized Machine Learning via Bilevel Optimization" at RPIEngineering ECSE RPI 👏 Learn more about the program on the Amazon Science website: amzn.to/ara-fall-winte… #AmazonResearchAwards

Reminder that the DEADLINE to submit original work to the proceedings track of the inaugural CPAL is August 28 - just about 2 weeks away!! 📅

Thanks for the invitation! Joint work with Lisha Chen, Heshan Fernando and Yiming Ying :)

Join us virtually for our Honors Convocation live this morning at 10 a.m EDT: bit.ly/3FzJVeG. This annual event, which takes place during Family Weekend, celebrates the outstanding academic accomplishments of our students and faculty.

Congratulations! Well deserved

Excited to share that our paper "Enhancing In-context Learning via Linear Probe Calibration" is accepted at AISTATS 2024! AISTATS Conference Grateful to my advisor Tianyi Chen and amazing team at IBM Research. Parikshit Ram Nathalie Baracaldo @Yi , @Horst, @Theodoros (1/3)

Congratulations, Quan! Well-deserved award! Way to go!

Congratulations to our newly elected Members-At-Large and Regional Directors-At-Large. 👏 A special thank you to the outgoing members completing their terms. Thank you ALL for your dedication and commitment to our Society. 📰 Read all about it at hubs.la/Q02Y3FZw0.

Congratulations to both! Lisha Chen Quan Xiao

Congratulations to NAE members Georges Belfort and Steven Cramer, Rensselaer Polytechnic Institute, for being named the 2025 Bernard M. Gordon Prize for Innovation in Engineering and Technology Education recipients! Read the full award announcement here: ow.ly/KX0O50UzlKt

Great job, Quan! It is a challenging yet important problem in bilevel optimization! 🥳🥳🥳 Quan Xiao

Great place and great people🏝️🏝️🏝️

(4/n) Fine-tuning on harmful data severely weakens the safety guardrails of LLMs. Our SEAL method introduces an efficient data selector to filter out problematic samples before fine-tuning for risk mitigation. with Han Shen Payel Das Tianyi Chen Paper: openreview.net/forum?id=VHguh…