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Ivan Beschastnikh — most-cited papers & profile · AI Agents
← authors
·
overview
Ivan Beschastnikh
11
papers ·
456
citations ·
30
h-index
University of British Columbia
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Mitigating Sybils in Federated Learning Poisoning
2018 · 364 citations
Biscotti: A Ledger for Private and Secure Peer-to-Peer Machine Learning
2018 · 59 citations
Iroko: A Framework to Prototype Reinforcement Learning for Data Center Traffic Control
2018 · 20 citations
Dancing in the Dark: Private Multi-Party Machine Learning in an Untrusted Setting
2018 · 4 citations
Dancing in the Dark: Private Multi-Party Machine Learning in an Untrusted Setting
2018 · 4 citations
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning
2022 · 2 citations
Scalable Data Point Valuation in Decentralized Learning
2023 · 2 citations
Empirical Study on Transformer-based Techniques for Software Engineering
2023 · 1 citations
Specula: Scaling formal specifications for autonomous model checking of system code
2026
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching
2025
Top co-authors
Emilie Ma
· 1
Finn Hackett
· 1
Qian Cheng
· 1
Ruize Tang
· 1
Saad Mohammad Rafid Pial
· 1
Tianyin Xu
· 1
Yiming Su
· 1
Yu Huang
· 1
Topics
Federated Learning
Privacy
Adversarial Attacks
Security
Code Models
Code Understanding
Adversarial ML
Network Security
Encryption
Value-Based