Efficient and Scalable Implementation of Differentially Private Deep Learning without Shortcuts
Fuente:
arXiv
Saved in:
| Main Authors: | Beltran, Sebastian Rodriguez, Tobaben, Marlon, Jälkö, Joonas, Loppi, Niki, Honkela, Antti |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adversarial Analysis of the Differentially-Private Federated Learning in Cyber-Physical Critical Infrastructures
by: Hossain, Md Tamjid, et al.
Published: (2022)
by: Hossain, Md Tamjid, et al.
Published: (2022)
Efficient Language Model Architectures for Differentially Private Federated Learning
by: Ro, Jae Hun, et al.
Published: (2024)
by: Ro, Jae Hun, et al.
Published: (2024)
Differentially Private Clustered Federated Learning
by: Malekmohammadi, Saber, et al.
Published: (2024)
by: Malekmohammadi, Saber, et al.
Published: (2024)
Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning
by: Tobaben, Marlon, et al.
Published: (2024)
by: Tobaben, Marlon, et al.
Published: (2024)
Differentially-Private Multi-Tier Federated Learning
by: Chen, Evan, et al.
Published: (2024)
by: Chen, Evan, et al.
Published: (2024)
Deterministic Bounds in Committee Selection: Enhancing Decentralization and Scalability in Distributed Ledgers
by: Melnikov, Grigorii, et al.
Published: (2024)
by: Melnikov, Grigorii, et al.
Published: (2024)
Differential Privacy Analysis of Decentralized Gossip Averaging under Varying Threat Models
by: Koskela, Antti, et al.
Published: (2025)
by: Koskela, Antti, et al.
Published: (2025)
Age Aware Scheduling for Differentially-Private Federated Learning
by: Lin, Kuan-Yu, et al.
Published: (2024)
by: Lin, Kuan-Yu, et al.
Published: (2024)
Differentially Private Online Federated Learning with Correlated Noise
by: Zhang, Jiaojiao, et al.
Published: (2024)
by: Zhang, Jiaojiao, et al.
Published: (2024)
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning
by: Malekmohammadi, Saber, et al.
Published: (2024)
by: Malekmohammadi, Saber, et al.
Published: (2024)
Differentially Private Federated Learning With Time-Adaptive Privacy Spending
by: Kiani, Shahrzad, et al.
Published: (2025)
by: Kiani, Shahrzad, et al.
Published: (2025)
Lightweight Federated Learning with Differential Privacy and Straggler Resilience
by: Hong, Shu, et al.
Published: (2024)
by: Hong, Shu, et al.
Published: (2024)
Privocracy: Online Democracy through Private Voting
by: Camponês, Pedro, et al.
Published: (2026)
by: Camponês, Pedro, et al.
Published: (2026)
T-Watch: Towards Timed Execution of Private Transaction in Blockchains
by: Li, Chao, et al.
Published: (2024)
by: Li, Chao, et al.
Published: (2024)
Split Learning without Local Weight Sharing to Enhance Client-side Data Privacy
by: Pham, Ngoc Duy, et al.
Published: (2022)
by: Pham, Ngoc Duy, et al.
Published: (2022)
Differential Privacy for Secure Machine Learning in Healthcare IoT-Cloud Systems
by: Mangala, N, et al.
Published: (2025)
by: Mangala, N, et al.
Published: (2025)
LiteChain: A Lightweight Blockchain for Verifiable and Scalable Federated Learning in Massive Edge Networks
by: Chen, Handi, et al.
Published: (2025)
by: Chen, Handi, et al.
Published: (2025)
Auditing without Leaks Despite Curiosity
by: Attiya, Hagit, et al.
Published: (2025)
by: Attiya, Hagit, et al.
Published: (2025)
Subcubic Coin Tossing in Asynchrony without Setup
by: Mizrahi, Mose, et al.
Published: (2026)
by: Mizrahi, Mose, et al.
Published: (2026)
PayOff: A Regulated Central Bank Digital Currency with Private Offline Payments
by: Beer, Carolin, et al.
Published: (2024)
by: Beer, Carolin, et al.
Published: (2024)
Scalable Data Notarization Leveraging Hybrid DLTs
by: Tortola, Domenico, et al.
Published: (2025)
by: Tortola, Domenico, et al.
Published: (2025)
On Fair Ordering and Differential Privacy
by: Cohen, Shir, et al.
Published: (2025)
by: Cohen, Shir, et al.
Published: (2025)
A Multi-Server Information-Sharing Environment for Cross-Party Collaboration on A Private Cloud
by: Zhang, Jianping, et al.
Published: (2024)
by: Zhang, Jianping, et al.
Published: (2024)
Private Virtual Tree Networks for Secure Multi-Tenant Environments Based on the VIRGO Overlay Network
by: Huang, Lican
Published: (2025)
by: Huang, Lican
Published: (2025)
Private and Secure Post-Quantum Verifiable Random Function with NIZK Proof and Ring-LWE Encryption in Blockchain
by: Kim, Bong Gon, et al.
Published: (2023)
by: Kim, Bong Gon, et al.
Published: (2023)
CAT: A GPU-Accelerated FHE Framework with Its Application to High-Precision Private Dataset Query
by: Li, Qirui, et al.
Published: (2025)
by: Li, Qirui, et al.
Published: (2025)
Bloom Filter Look-Up Tables for Private and Secure Distributed Databases in Web3 (Revised Version)
by: Dolev, Shlomi, et al.
Published: (2026)
by: Dolev, Shlomi, et al.
Published: (2026)
Implementation of New Security Features in CMSWEB Kubernetes Cluster at CERN
by: Ali, Aamir, et al.
Published: (2024)
by: Ali, Aamir, et al.
Published: (2024)
SCALHEALTH: Scalable Blockchain Integration for Secure IoT Healthcare Systems
by: Mohammadi, Mehrzad, et al.
Published: (2024)
by: Mohammadi, Mehrzad, et al.
Published: (2024)
JUMBO: Fully Asynchronous BFT Consensus Made Truly Scalable
by: Cheng, Hao, et al.
Published: (2024)
by: Cheng, Hao, et al.
Published: (2024)
OrbitBFT: Enabling Scalable and Robust BFT Consensus in LEO Constellations
by: Sun, Tianyi, et al.
Published: (2026)
by: Sun, Tianyi, et al.
Published: (2026)
A Range-Based Sharding (RBS) Protocol for Scalable Enterprise Blockchain
by: Haider, M. Z., et al.
Published: (2025)
by: Haider, M. Z., et al.
Published: (2025)
A DLT-based Smart Contract Architecture for Atomic and Scalable Trading
by: Kalbantner, J., et al.
Published: (2021)
by: Kalbantner, J., et al.
Published: (2021)
Dropout-Robust Mechanisms for Differentially Private and Fully Decentralized Mean Estimation
by: Sabater, César, et al.
Published: (2025)
by: Sabater, César, et al.
Published: (2025)
DP$^2$-FedSAM: Enhancing Differentially Private Federated Learning Through Personalized Sharpness-Aware Minimization
by: Zhang, Zhenxiao, et al.
Published: (2024)
by: Zhang, Zhenxiao, et al.
Published: (2024)
Scalable and Adaptively Secure Any-Trust Distributed Key Generation and All-hands Checkpointing
by: Feng, Hanwen, et al.
Published: (2023)
by: Feng, Hanwen, et al.
Published: (2023)
LiFeChain: Lightweight Blockchain for Secure and Efficient Federated Lifelong Learning in IoT
by: Chen, Handi, et al.
Published: (2025)
by: Chen, Handi, et al.
Published: (2025)
Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach
by: Quan, Yueyang, et al.
Published: (2025)
by: Quan, Yueyang, et al.
Published: (2025)
Bullshark on Narwhal: Implementation-level Workflow Analysis of Round-based DAG Consensus in Theory and Practice
by: Tanaka, Yusei
Published: (2025)
by: Tanaka, Yusei
Published: (2025)
Communication-Efficient and Differentially Private Vertical Federated Learning with Zeroth-Order Optimization
by: Zhang, Jianing, et al.
Published: (2025)
by: Zhang, Jianing, et al.
Published: (2025)
Similar Items
-
Adversarial Analysis of the Differentially-Private Federated Learning in Cyber-Physical Critical Infrastructures
by: Hossain, Md Tamjid, et al.
Published: (2022) -
Efficient Language Model Architectures for Differentially Private Federated Learning
by: Ro, Jae Hun, et al.
Published: (2024) -
Differentially Private Clustered Federated Learning
by: Malekmohammadi, Saber, et al.
Published: (2024) -
Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning
by: Tobaben, Marlon, et al.
Published: (2024) -
Differentially-Private Multi-Tier Federated Learning
by: Chen, Evan, et al.
Published: (2024)