Yes, that is probably true. I put out my numbers publicly to give at least n = 1 data point. I would be curious to know how many papers are reviewed by those who submit 30+ papers to a single conference. Though maybe their large group would make up any deficit.
RESEARCH
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NASA STEM STEAM Education: 8 Ways Students Explore
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Break Down Boundaries! 8 Ways #Students Can Dive Into #STEM & #STEAM with #NASA in 2023 @NASA https://
bit.ly/NasaSTEAM #education @psb_dc @helene_wpli #Webb #dataScientist @TeachersPLN #Space #AI #ML @MatthewSekol @DigitalColmer @Paula_Piccard @michaeldacosta @IamNankpak -
Balancing Peer Review Contributions in Academic Publishing
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A rough count gave about 14. Each of these papers has at least 3 authors (most have more), and each got ~3 reviews, meaning that to remain review neutral, I'd need to do ~14 reviews.
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Top 2023 Tech Trends Predicted By AI Model
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Here Are The Top 2023 Trends As Predicted By An #AI Model : A Perfect Storm of Tech https://
medium.datadriveninvestor.com/here-are-the-t
op-2023-trends-as-predicted-by-artificial-intelligence-828a093a0ca6
… @pierrepinna @Xbond49 @PawlowskiMario @psb_dc @gvalan @TheRudinGroup @HaroldSinnott @mikeflache @Shi4Tech @Nicochan33 #MachineLearning #DeepLearning #Fintech #Datascience -
2022 Conference Review Activity Across Seven ML Programs
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2022's year in reviews: I did 28 conference reviews, plus 42 meta-reviews, on 7 program committees (COLT, UAI, NeurIPS, SaTML, ICLR, USENIX Security, ALT). I also chaired two #ICML2022 workshops (TPDP and UpML). Numbers are down from last year, so why do I feel more tired…
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Differential Privacy and Secure Aggregation in Federated Learning
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It's a bit complicated. Methods like differential privacy and secure aggregation on top of FL generally help, but there are some caveats. See "Is it possible to Prevent Our Passive and Active Attacks?" of http://
cleverhans.io/2022/04/17/fl-
privacy.html
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Federated Learning: Heterogeneity and Privacy Perspectives
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I like FL as a lens through which to study heterogeneity in clients, which may have different distributions, resources, or capabilities. But not for privacy. Here is another perspective on privacy of FL, which is a bit more conspiratorial than my own https://
x.com/le_science4all
/status/1602432680657928193
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Federated Learning Privacy Misconceptions Debunked
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~30% of true/false voters made the biggest misconception in privacy-preserving ML. Fact: federated learning is not private. @jasondeanlee and @tomgoldsteincs posted some nice papers showing this. Also, here's a blog explainer I like by @fraboeni et al.: http://
cleverhans.io/2022/04/17/fl-
privacy.html
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Closing Cybersecurity Gaps in Healthcare: 2022 Review
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Closing #CyberSecurity Gaps in #healthcare 2022 in Review! @ATTBusiness #Health & #Security #research See http://
bit.ly/CyberHealthC #AI #5G #ATTInfluencer #CES2023 @RocketVRHealth @DAO_EHT @1OFFGINGER @moingshaikh @tobiaskintzel @ILoveBooks786 @RosyCoaching @SpirosMargaris -
Happy New Year is All You Need – 2023 Research
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“Happy New Year is All You Need” — Akhaliq et al 2023