Rawad Bitar

Technical University of Munich — Germany

Computer Science · Physical Sciences

11h-index507citations105works0.92yr avg
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Research Topics

Privacy-Preserving Technologies in Data(43), Stochastic Gradient Optimization Techniques(42), Cryptography and Data Security(32), Cooperative Communication and Network Coding(13), DNA and Biological Computing(13)

Publications105 total

Achieving DNA Labeling Capacity With Minimum Labels Through Extremal de Bruijn Subgraphs
IEEE Transactions on Information Theory·2025Open Access
Efficient Machine Unlearning by Model Splitting and Core Sample Selection
2025· 1 cited
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning
2025· 1 cited
Private Aggregation in Hierarchical Wireless Federated Learning With Partial and Full Collusion
IEEE Transactions on Information Theory·2025· 3 citedOpen Access
Beyond Trade-offs: A Unified Framework for Privacy, Robustness, and Communication Efficiency in Federated Learning
ArXiv.org·2025Open Access
LoByITFL: Low Communication Secure and Private Federated Learning
2025· 3 citedOpen Access
Multi-Terminal Remote Generation and Estimation Over a Broadcast Channel with Correlated Priors
2025
Federated One-Shot Learning with Data Privacy and Objective-Hiding
2025
CAT and DOG: Improved Codes for Private Distributed Matrix Multiplication
2025
Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning
arXiv (Cornell University)·2025Open Access
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning
arXiv (Cornell University)·2025Open Access
Cost-Efficient Distributed Learning via Combinatorial Multi-Armed Bandits
Entropy·2025· 1 citedOpen Access
Efficient Machine Unlearning by Model Splitting and Core Sample Selection
arXiv (Cornell University)·2025Open Access
Source Anonymity for Private Random Walk Decentralized Learning
arXiv (Cornell University)·2025Open Access
Multi-Terminal Remote Generation and Estimation Over a Broadcast Channel With Correlated Priors
arXiv (Cornell University)·2025Open Access
Federated One-Shot Learning with Data Privacy and Objective-Hiding
arXiv (Cornell University)·2025Open Access
Private Inference in Quantized Models
IEEE Transactions on Information Theory·2025· 1 cited
Byzantine-Resilient Gradient Coding Through Local Gradient Computations
IEEE Transactions on Information Theory·2025· 4 cited
BICompFL: Stochastic Federated Learning with Bi-Directional Compression
arXiv (Cornell University)·2025Open Access
Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning
arXiv (Cornell University)·2025Open Access
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Frequent Co-authors

Antonia Wachter-Zeh(20), Maximilian Egger(16), Salim El Rouayheb(14), Eitan Yaakobi(11), Christoph Hofmeister(9), Marvin Xhemrishi(7), Venkat Dasari(5), Denız Gündüz(5), Parimal Parag(4), Lorenz Welter(4), Serge Kas Hanna(3), Yasaman Keshtkarjahromi(3), Hülya Seferoğlu(3), Luis Maßny(3), Sidharth Jaggi(3), Yihan Zhang(3), Mary Wootters(2), Yuxuan Xing(2), Andreas Lenz(2), Netanel Raviv(2)