Machine learning now draws from data whose collection is unsafe and susceptible to so-called Byzantine attacks, as explained by El Mahdi El Mhamdi. https://people.epfl.ch/elmahdi.elmhamdi
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Faster algorithms for RDMA and open challenges (ft. Igor Zablotchi)
Message & Memory beats Message or Memory (ft. Igor Zablotchi)
CryoGAN: Deep learning for protein 3D structures (ft. Laurène Donati)
Looking at proteins with cryo-electromicroscopy and algorithms (ft. Laurène Donati)
Open Problems in Federated Learning (ft. Sai Praneeth Reddy Karimireddy)
Concurrent Algorithms with Rachid Guerraoui
Distributed Algorithms with Rachid Guerraoui
Should YouTube intervene? (ft. Manoel Horta Ribeiro)
SCAFFOLD: Faster Federated Learning (ft. Sai Praneeth Reddy Karimireddy)
Studying radicalization communities on YouTube (ft. Manoel Horta Ribeiro)
Radicalization on YouTube (ft. Manoel Horta Ribeiro)
Federated learning (ft. Sai Praneeth Reddy Karimireddy)
Proof of Bandwith: An Alternative to Proof of Work (ft. Matteo Monti)
Interactive comparison based search: who-is-th.at | Daniyar Chumbalov
Protean: A General Purpose Decentralized Computer | Enis Ceyhun Alp
Communication Efficient Decentralised Machine Learning | Anastasia Koloskova
Low Latency Metadata Protection for Organizational Networks | Ludovic Barman
Decentralized, Secure and Verifiable Data Sharing | David Froelicher
Teaching a machine learning algorithm better | Farnood Salehi
Detecting the Unexpected via Image Resynthesis | Krzysztof Lis
Secure Microarchitectural Design | Atri Bhattacharyya
Protecting the Metadata of Your Secret Messages | Kirill Nikitin
Sublinear Algorithms for Graph Processing | Aida Mousavifar
Proving the Safety of AT2 (ft. Matteo Monti)