Top Tweets for #CompSys2022
Making the a safer, more #responsible #Internet: Ralf Holz, here introduced by Fernando Kuipers on "The Responsible Internet - a new security pillar for the Internet" #CompSys2022
Interested doing more/better with privacy-sensitive, heterogeneous data, in real-world computing environments? Bart Cox, Lydia Chen, and Jérémie Decouchant on "FreezOff: A Middleware for Heterogeneous Federated Learning Systems" #CompSys2022
Addressing the computational challenges of click models: @_pkhandel, Andrew Yates, and Ana Lucia Varbanescu on "Efficient Sampling of User Interactions in Information Retrieval" #CompSys2022
Analyzing and comparing mathematical bias: @LorenaPoenaru, @luismcruz, @avandeursen, and @rellermeyer on "Are Concept Drift Detectors Ready for Production? A Comparative Study" #CompSys2022
Understanding and improving ML pipelines: Wiebke Toussaint Hutiri @wiebketous and Aaron Ding @aaronyiding on "Bias in Automated Speaker Recognition" #CompSys2022
Federated learning from @UniLeiden: Xinyuan Ji on her "MUSE: A Trustworthy Vertical Federated Feature Selection Framework" #CompSys2022
We presented our work "A Bayesian Game-Enhanced Auction Model for Federated Cloud Services Using Blockchain" at #CompSys2022. The paper is accepted by Elsevier's #FGCS Journal. The research is conducted in UvA #MNS and supported by EU #H2020 #ARTICONF, #ENVRIFAIR and #BlueCloud.
Right now at #CompSys2022 a panel on the challenges of the scientific and industry computer system community
On real-world environments for computer systems and networking research: Jerry Sobiesky keynotes at #CompSys2022 on "BRIDGES – An Advanced Global Infrastructure for Network Experimentation". Great to be part of a science where the best discovery through experiments is ahead!
How to improve performance for ML workloads at the edge? Bart Cox, Jeroen Galjaard, Amirmasoud Ghiassi, Robert Birke, and Lydia Y. Chen on "MASA: Responsive Multi-DNN Inference on the Edge" #CompSys2022
Networking advances: Cyril Shih-Huan Hsu, Danny De Vleeschauwer, and Chrysa Papagianni on "SLAs Decomposition for Network Slicing: A Deep Neural Network Approach" #CompSys2022
Data sharing is increasingly needed for daily societal needs, such as healthcare. Jamila Alsayed Kassem, Adam Belloum, Tim Müller, and @PaolaGrossoWork present "Evaluating the Performance of Virtual Network Function Chaining within Healthcare Use Cases" #CompSys2022
Here at #CompSys2022: presenting the #UPIN project (talk given by Leonardo Boldrini from @MnsUva and Matteo Bacchiddu @PoliTOnews)
40 years in only 40 minutes. Henri Bal talks about his career in #parallel and #distributed computing, highlighting also the importance of @ASCI_NL and @VU_Science. Many thanks, Henri! #CompSys2022
The AMUSE/AMOOSE domain-specific programming language and system, by Miguel Blom, Kristian Rietveld, Harry Wijshoff, and Simon Portegies Zwart at @UniLeiden. #CompSys2022
Interested in zero-CPU models? Read about Hyperion, work by Animesh Trivedi and others. An early version is now available on arXiv:
https://t.co/FfqMjb0I5l
#CompSys2022
Performance modeling: Jelle van Dijk, Gábor Závodszky, and Ana Lucia Varbanescu on "Analytical performance modeling for complex scientific applications" #CompSys2022
Using one of the tens of partial resource and service models coexisting in the computing continuum? Want to use more kinds of resources and services? Then join us and @spec_perf in developing a unified reference architecture across the _entire_ computing continuum. #CompSys2022
Computing resources everywhere, but placed in distinct 'silos'. How to reason about them together, enable management across the computing continuum? Matthijs Jansen, A. Al-Dulaimy, A. Papadopoulos, A. Trivedi, and A. Iosup are creating a reference architecture. #CompSys2022
A pitch for something new: Animesh Trivedi pitches ideas developed with Marco Spaziani Brunella and Marco Bonola, on "Hyperion: A Unified, Zero-CPU Data-Processing Unit (DPU)" #CompSys2022
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