Saved in:
| Main Authors: | Biswas, Sayan, Boutet, Antoine, Frey, Davide, Gaudel, Romaric, Guerraoui, Rachid, Jacovella, Maxime, Kermarrec, Anne-Marie, Lerévérend, Dimitri, Taïani, François, de Vos, Martijn |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.19969 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Low-Cost Privacy-Preserving Decentralized Learning
by: Biswas, Sayan, et al.
Published: (2024)
by: Biswas, Sayan, et al.
Published: (2024)
Mosaic Learning: A Framework for Decentralized Learning with Model Fragmentation
by: Biswas, Sayan, et al.
Published: (2026)
by: Biswas, Sayan, et al.
Published: (2026)
Unified Privacy Guarantees for Decentralized Learning via Matrix Factorization
by: Bellet, Aurélien, et al.
Published: (2025)
by: Bellet, Aurélien, et al.
Published: (2025)
Fair Decentralized Learning
by: Biswas, Sayan, et al.
Published: (2024)
by: Biswas, Sayan, et al.
Published: (2024)
PeerSwap: A Peer-Sampler with Randomness Guarantees
by: Guerraoui, Rachid, et al.
Published: (2024)
by: Guerraoui, Rachid, et al.
Published: (2024)
Robust Federated Inference
by: Dhasade, Akash, et al.
Published: (2025)
by: Dhasade, Akash, et al.
Published: (2025)
Efficient Matroid Bandit Linear Optimization Leveraging Unimodality
by: Delage, Aurélien, et al.
Published: (2025)
by: Delage, Aurélien, et al.
Published: (2025)
Boosting Asynchronous Decentralized Learning with Model Fragmentation
by: Biswas, Sayan, et al.
Published: (2024)
by: Biswas, Sayan, et al.
Published: (2024)
Noiseless Privacy-Preserving Decentralized Learning
by: Biswas, Sayan, et al.
Published: (2024)
by: Biswas, Sayan, et al.
Published: (2024)
Efficient Federated Search for Retrieval-Augmented Generation using Lightweight Routing
by: Dhasade, Akash, et al.
Published: (2025)
by: Dhasade, Akash, et al.
Published: (2025)
Overcoming the Challenges of Batch Normalization in Federated Learning
by: Guerraoui, Rachid, et al.
Published: (2024)
by: Guerraoui, Rachid, et al.
Published: (2024)
ByzFL: Research Framework for Robust Federated Learning
by: González, Marc, et al.
Published: (2025)
by: González, Marc, et al.
Published: (2025)
Secure Aggregation Meets Sparsification in Decentralized Learning
by: Biswas, Sayan, et al.
Published: (2024)
by: Biswas, Sayan, et al.
Published: (2024)
On the Inherent Anonymity of Gossiping
by: Guerraoui, Rachid, et al.
Published: (2023)
by: Guerraoui, Rachid, et al.
Published: (2023)
Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection
by: Kelodjou, Gwladys, et al.
Published: (2023)
by: Kelodjou, Gwladys, et al.
Published: (2023)
Leverage Unlearning to Sanitize LLMs
by: Boutet, Antoine, et al.
Published: (2025)
by: Boutet, Antoine, et al.
Published: (2025)
Decentralized Learning Made Practical with Client Sampling
by: de Vos, Martijn, et al.
Published: (2023)
by: de Vos, Martijn, et al.
Published: (2023)
RIVA: Leveraging LLM Agents for Reliable Configuration Drift Detection
by: Abuzakuk, Sami, et al.
Published: (2026)
by: Abuzakuk, Sami, et al.
Published: (2026)
A Modular Approach to Construct Signature-Free BRB Algorithms under a Message Adversary
by: Albouy, Timothé, et al.
Published: (2022)
by: Albouy, Timothé, et al.
Published: (2022)
Process-Commutative Distributed Objects: From Cryptocurrencies to Byzantine-Fault-Tolerant CRDTs
by: Frey, Davide, et al.
Published: (2023)
by: Frey, Davide, et al.
Published: (2023)
Ethical Risk Analysis of L2 Rollups
by: Ishmaev, Georgy, et al.
Published: (2025)
by: Ishmaev, Georgy, et al.
Published: (2025)
Robust ML Auditing using Prior Knowledge
by: Bourrée, Jade Garcia, et al.
Published: (2025)
by: Bourrée, Jade Garcia, et al.
Published: (2025)
The Privacy Power of Correlated Noise in Decentralized Learning
by: Allouah, Youssef, et al.
Published: (2024)
by: Allouah, Youssef, et al.
Published: (2024)
Energy-Aware Decentralized Learning with Intermittent Model Training
by: Dhasade, Akash, et al.
Published: (2024)
by: Dhasade, Akash, et al.
Published: (2024)
Leveraging Approximate Caching for Faster Retrieval-Augmented Generation
by: Bergman, Shai, et al.
Published: (2025)
by: Bergman, Shai, et al.
Published: (2025)
Context Adaptive Cooperation
by: Albouy, Timothé, et al.
Published: (2023)
by: Albouy, Timothé, et al.
Published: (2023)
Curriculum Learning for Few-Shot Domain Adaptation in CT-based Airway Tree Segmentation
by: Jacovella, Maxime, et al.
Published: (2024)
by: Jacovella, Maxime, et al.
Published: (2024)
Towards Trustworthy Federated Learning with Untrusted Participants
by: Allouah, Youssef, et al.
Published: (2025)
by: Allouah, Youssef, et al.
Published: (2025)
Balancing Privacy, Robustness, and Efficiency in Machine Learning
by: Allouah, Youssef, et al.
Published: (2023)
by: Allouah, Youssef, et al.
Published: (2023)
Distributional Machine Unlearning via Selective Data Removal
by: Allouah, Youssef, et al.
Published: (2025)
by: Allouah, Youssef, et al.
Published: (2025)
Revisiting Ensembling in One-Shot Federated Learning
by: Allouah, Youssef, et al.
Published: (2024)
by: Allouah, Youssef, et al.
Published: (2024)
Catapults to the Rescue: Accelerating Vector Search by Exploiting Query Locality
by: Abuzakuk, Sami, et al.
Published: (2026)
by: Abuzakuk, Sami, et al.
Published: (2026)
Collaborative Agentic AI Needs Interoperability Across Ecosystems
by: Sharma, Rishi, et al.
Published: (2025)
by: Sharma, Rishi, et al.
Published: (2025)
"I'm not for sale" -- Perceptions and limited awareness of privacy risks by digital natives about location data
by: Boutet, Antoine, et al.
Published: (2025)
by: Boutet, Antoine, et al.
Published: (2025)
Robust and Efficient Collaborative Learning
by: Mrini, Abdellah El, et al.
Published: (2025)
by: Mrini, Abdellah El, et al.
Published: (2025)
Optimizing Agentic Workflows using Meta-tools
by: Abuzakuk, Sami, et al.
Published: (2026)
by: Abuzakuk, Sami, et al.
Published: (2026)
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning
by: Dhasade, Akash, et al.
Published: (2024)
by: Dhasade, Akash, et al.
Published: (2024)
Practical Federated Learning without a Server
by: Dhasade, Akash, et al.
Published: (2025)
by: Dhasade, Akash, et al.
Published: (2025)
HarMoEny: Efficient Multi-GPU Inference of MoE Models
by: Doucet, Zachary, et al.
Published: (2025)
by: Doucet, Zachary, et al.
Published: (2025)
QuickDrop: Efficient Federated Unlearning by Integrated Dataset Distillation
by: Dhasade, Akash, et al.
Published: (2023)
by: Dhasade, Akash, et al.
Published: (2023)
Similar Items
-
Low-Cost Privacy-Preserving Decentralized Learning
by: Biswas, Sayan, et al.
Published: (2024) -
Mosaic Learning: A Framework for Decentralized Learning with Model Fragmentation
by: Biswas, Sayan, et al.
Published: (2026) -
Unified Privacy Guarantees for Decentralized Learning via Matrix Factorization
by: Bellet, Aurélien, et al.
Published: (2025) -
Fair Decentralized Learning
by: Biswas, Sayan, et al.
Published: (2024) -
PeerSwap: A Peer-Sampler with Randomness Guarantees
by: Guerraoui, Rachid, et al.
Published: (2024)