Rachid Guerraoui
Full Professor
Researches distributed algorithms and robust distributed machine learning, including Byzantine-resilient learning and transactional memory.
Rachid Guerraoui's lab at EPFL works on trustworthy & safe ML, signal processing & information theory and distributed, cloud & edge systems. 52 papers since 2023, 24 at top venues, mostly ICML and ICLR. 7 PhD students. 46 alumni. Applications close .
At a glance
- papers, 2023–2026
- 14/ year
- at T1 venues
- 46%
- PhD students
- 7
- MS students
- 0
- alumni listed
- 46
Papers by yearfrom DBLP, 2023–2026
- 8 papers2026 · T1 2 · collecting
- 11 papers2025 · T1 5
- 17 papers2024 · T1 8
- 16 papers2023 · T1 9
T1 venuesOtherVenues: ICML, ICLR, NeurIPS, AISTATS, OSDI
Research focuspaper titles that use each topic's words
- Distributed, cloud & edge systems6 papers
- distributed5 papers
- Trustworthy & safe ML2 papers
- Signal processing & information theory0 papers
- researches distributed0 papers
Paper list
From DBLP.
20268 papers
- IACR Cryptol. ePrint Arch.Accountable Asynchronous Multi-Party Computation (opens in a new tab)
- IACR Cryptol. ePrint Arch.Computing in a Safe House: Accountable Universally Composable Asynchronous Secure Distributed Computing (opens in a new tab)
- IACR Cryptol. ePrint Arch.Constant-Round Interactive Consistency in Dishonest Majority, or with Quadratic Communication in Honest Majority (opens in a new tab)
- ICLR (T1)Distributional Machine Unlearning via Selective Data Removal (opens in a new tab)
- DAISEfficient Federated Search for Retrieval-Augmented Generation Using Lightweight Routing (opens in a new tab)
- ICLR (T1)Robust Federated Inference (opens in a new tab)
- SPScalable Accountable Byzantine Agreement and Beyond (opens in a new tab)
- ICDCSSpectralShard: Lightweight Partitioning Under Dynamic Interaction Patterns (opens in a new tab)
202511 papers
- ICLR (T1)Adaptive Gradient Clipping for Robust Federated Learning (opens in a new tab)
- Future Gener. Comput. Syst.ARGO: Overcoming hardware dependence in distributed learning (opens in a new tab)
- IEEE Trans. Dependable Secur. Comput.Carbon: Scaling Trusted Payments With Untrusted machines (opens in a new tab)
- ICML (T1)Certified Unlearning for Neural Networks (opens in a new tab)
- EuroMLSysEfficient Federated Search for Retrieval-Augmented Generation (opens in a new tab)
- DSN-SEvaluating Blockchain Fault Tolerance with Stabl (opens in a new tab)
- SODA (T1)Partial Synchrony for Free: New Upper Bounds for Byzantine Agreement (opens in a new tab)
- PODCRepeated Agreement is Cheap! On Weak Accountability and Multishot Byzantine Agreement (opens in a new tab)
- MiddlewareStabl: The Sensitivity of Blockchains to Failures (opens in a new tab)
- ICLR (T1)The Utility and Complexity of In- and Out-of-Distribution Machine Unlearning (opens in a new tab)
- ICML (T1)Towards Trustworthy Federated Learning with Untrusted Participants (opens in a new tab)
202417 papers
- SoCCAccelerating Transfer Learning with Near-Data Computation on Cloud Object Stores (opens in a new tab)
- PODCAll Byzantine Agreement Problems Are Expensive (opens in a new tab)
- PODCBrief Announcement: A Case for Byzantine Machine Learning (opens in a new tab)
- Distributed Comput.Byzantine consensus is Θ (n2): the Dolev-Reischuk bound is tight even in partial synchrony! (opens in a new tab)
- ACM Comput. Surv.Byzantine Machine Learning: A Primer (opens in a new tab)
- ICML (T1)Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates (opens in a new tab)
- OSDI (T1)Chop Chop: Byzantine Atomic Broadcast to the Network Limit (opens in a new tab)
- PODCDARE to Agree: Byzantine Agreement With Optimal Resilience and Adaptive Communication (opens in a new tab)
- OSDI (T1)DSig: Breaking the Barrier of Signatures in Data Centers (opens in a new tab)
- DISCEfficient Signature-Free Validated Agreement (opens in a new tab)
- NeurIPS (T1)Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients (opens in a new tab)
- SRDSPeerswap: A Peer-Sampler with Randomness Guarantees (opens in a new tab)
202316 papers
- J. Parallel Distributed Comput.As easy as ABC: Optimal (A)ccountable (B)yzantine (C)onsensus is easy! (opens in a new tab)
- GECCO CompanionByzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search (opens in a new tab)
- EuroSys (T1)Diablo: A Benchmark Suite for Blockchains (opens in a new tab)
- e-EnergyEfficient and Accurate Peer-to-Peer Training of Machine Learning Based Home Thermal Models (opens in a new tab)
- NeurIPS (T1)Epidemic Learning: Boosting Decentralized Learning with Randomized Communication (opens in a new tab)
- DISCEvery Bit Counts in Consensus (opens in a new tab)
- AISTATS (T1)Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity (opens in a new tab)
- TKDE (T1)GoldFinger: Fast & Approximate Jaccard for Efficient KNN Graph Constructions (opens in a new tab)
- J. Parallel Distributed Comput.Leaderless consensus (opens in a new tab)
- DISCOn the Inherent Anonymity of Gossiping (opens in a new tab)
- ICML (T1)On the Privacy-Robustness-Utility Trilemma in Distributed Learning (opens in a new tab)
- AISTATS (T1)On the Strategyproofness of the Geometric Median (opens in a new tab)
Where alumni went46 listed
Apply to EPFLFall 2027
EDIC Computer and Communication Sciences PhD
- Round
- Round 1
- Opens
- —
- GRE
- optional
- English
- TOEFL 100 / IELTS 7.0
- Fee
- none
Confirmed on the program page.
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