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Maximilian Egger — most-cited papers & profile · Federated Learning
← authors
·
overview
Maximilian Egger
10
papers ·
12
citations ·
4
h-index
Universität Innsbruck · Technical University of Munich
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Semantic Scholar ↗
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Most-cited papers
Byzantine-Resilient Secure Aggregation for Federated Learning Without Privacy Compromises
2024 · 9 citations
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning
2025 · 1 citations
Source Anonymity for Private Random Walk Decentralized Learning
2025 · 1 citations
Scalable and Reliable Over-the-Air Federated Edge Learning
2024 · 1 citations
Federated One-Shot Learning with Data Privacy and Objective-Hiding
2025
Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning
2025
BICompFL: Stochastic Federated Learning with Bi-Directional Compression
2025
LoByITFL: Low Communication Secure and Private Federated Learning
2024
Private Aggregation in Hierarchical Wireless Federated Learning with Partial and Full Collusion
2023
Communication-Efficient Byzantine-Resilient Federated Zero-Order Optimization
2024
Top co-authors
Rawad Bitar
· 10
Antonia Wachter-Zeh
· 4
Christoph Hofmeister
· 4
Mayank Bakshi
· 2
Yue Xia
· 2
Afonso de S\'a Delgado Neto
· 1
Cem Kaya
· 1
Denız Gündüz
· 1
Nir Weinberger
· 1
Rüdiger Urbanke
· 1
Svenja Lage
· 1
Topics
Federated Learning
Privacy
Communication
Optimization
Data Heterogeneity
Security