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Nicholas D. Lane

  1. Flower: A Friendly Federated Learning Research Framework
    2020/07/28 by Daniel J. Beutel, Beutel, Daniel J., Taner Topal +19 · 1 voice · 124 citations
    Computer Science · Mathematics · #Internet Traffic Analysis and Secure E-voting #Mobile Crowdsensing and Crowdsourcing #Privacy-Preserving Technologies in Data #cs.CV #cs.LG #stat.ML
  2. Small Language Models: Survey, Measurements, and Insights
    2024/09/24 by Zhichun Lu, Zhenyan Lu, Xiang Li +15 · 4 voices · 45 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computational and Text Analysis Methods #Expert finding and Q&A systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling #cs.AI #cs.CL #cs.LG
  3. The Future of Large Language Model Pre-training is Federated
    2024/05/17 by Lorenzo Sani, Alex Iacob, Sani, Lorenzo +19 · 1 voice · 15 citations
    Computer Science · #Topic Modeling
  4. FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
    2021/02/26 by Samuel Horváth, Horvath, Samuel, Stefanos Laskaridis +10 · 23 citations
    Computer Science · #Age of Information Optimization #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  5. Zero-Cost Proxies for Lightweight NAS
    2021/01/20 by Mohamed S. Abdelfattah, Abhinav Mehrotra, Abdelfattah, Mohamed S. +5 · 19 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural and Evolutionary Computing (cs.NE)
  6. BRP-NAS: Prediction-based NAS using GCNs
    2020/07/16 by Łukasz Dudziak, Thomas Chau, Dudziak, Łukasz +9 · 23 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Advanced Neural Network Applications #FOS: Computer and information sciences #FOS: Electrical engineering #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #electronic engineering #information engineering
  7. Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design
    2022/09/20 by Hongxiang Fan, Fan, Hongxiang, Thomas Chau +13 · 12 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #CCD and CMOS Imaging Sensors #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Image Enhancement Techniques #Machine Learning (cs.LG)
  8. The Final Frontier: Deep Learning in Space
    2020/01/27 by Vivek Kothari, Edgar Liberis, Kothari, Vivek +3 · 8 citations
    Computer Science · Engineering · #Age of Information Optimization #CCD and CMOS Imaging Sensors #Space Satellite Systems and Control
  9. Degree-Quant: Quantization-Aware Training for Graph Neural Networks
    2020/08/11 by Shyam A. Tailor, Tailor, Shyam A., Javier Fernández-Marqués +3 · 8 citations
    Computer Science · #Advanced Graph Neural Networks #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
  10. TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge
    2023/07/19 by Young D. Kwon, Kwon, Young D., Rui Li +9 · 11 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #IoT and Edge/Fog Computing #Machine Learning (cs.LG)
  11. Aardvark weather: end-to-end data-driven weather forecasting
    2024/03/30 by Anna Vaughan, Vaughan, Anna, Stratis Markou +19 · 3 voices · 3 citations
    Computer Science · Environmental Science · Physics and Astronomy · #Hydrological Forecasting Using AI #cs.LG #physics.ao-ph
  12. μNAS: Constrained Neural Architecture Search for Microcontrollers
    2020/10/27 by Edgar Liberis, Łukasz Dudziak, Liberis, Edgar +3 · 7 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #CCD and CMOS Imaging Sensors #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG)
  13. Can Federated Learning Save The Planet?
    2020/10/13 by Xinchi Qiu, Qiu, Xinchi, Titouan Parcollet +9 · 6 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  14. L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning
    2023/07/14 by Yasar Abbas Ur Rehman, Rehman, Yasar Abbas Ur, Yan Gao +9 · 8 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Privacy-Preserving Technologies in Data
  15. IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition
    2020/05/29 by Hyeokhyen Kwon, Catherine Tong, Kwon, Hyeokhyen +11 · 4 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Context-Aware Activity Recognition Systems #FOS: Computer and information sciences #FOS: Electrical engineering #Human Pose and Action Recognition #Image and Video Processing (eess.IV) #electronic engineering #information engineering
  16. The Future of Consumer Edge-AI Computing
    2022/10/19 by Stefanos Laskaridis, Laskaridis, Stefanos, Stylianos I. Venieris +7 · 5 citations
    Computer Science · Decision Sciences · #Context-Aware Activity Recognition Systems #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Machine Learning (cs.LG) #Personal Information Management and User Behavior
  17. End-to-End Speech Recognition from Federated Acoustic Models
    2021/04/29 by Yan Gao, Titouan Parcollet, Gao, Yan +11 · 3 citations
    Computer Science · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Music and Audio Processing #Sound (cs.SD) #Speech Recognition and Synthesis #Speech and Audio Processing #electronic engineering #information engineering
  18. Do We Need Anisotropic Graph Neural Networks?
    2021/04/03 by Shyam A. Tailor, Felix L. Opolka, Tailor, Shyam A. +5 · 3 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Recommender Systems and Techniques #Stochastic Gradient Optimization Techniques
  19. Deep Learning in the Era of Edge Computing: Challenges and Opportunities
    2020/10/17 by Mi Zhang, Zhang, Mi, Faen Zhang +13 · 1 voice · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.LG
  20. Secure Aggregation for Federated Learning in Flower
    2022/05/12 by Kwing Hei Li, Pedro Porto Buarque de Gusmão, Li, Kwing Hei +5 · 3 citations
    Computer Science · #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  21. LLM Unlearning via Neural Activation Redirection
    2025/02/11 by William F. Shen, Xinchi Qiu, Shen, William F. +13 · 13 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Image and Object Detection Techniques #Machine Learning (cs.LG) #Neural Networks and Applications
  22. Recurrent Early Exits for Federated Learning with Heterogeneous Clients
    2024/05/23 by Royson Lee, Javier Fernández-Marqués, Lee, Royson +15 · 4 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Cooperative Communication and Network Coding #Cryptography and Data Security #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
  23. Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition
    2020/05/19 by Yan Gao, Titouan Parcollet, Gao, Yan +3 · 2 citations
    Computer Science · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing #Natural Language Processing Techniques #Sound (cs.SD) #Speech Recognition and Synthesis #electronic engineering #information engineering
  24. Federated Learning Priorities Under the European Union Artificial Intelligence Act
    2024/02/05 by Herbert Woisetschläger, Alexander Erben, Woisetschläger, Herbert +11 · 4 citations
    Economics, Econometrics and Finance · Social Sciences · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Digital Transformation in Law #Distributed #European Criminal Justice and Data Protection #FOS: Computer and information sciences #I.2 #I.2.11 #K.5 #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  25. Zero-Cost Operation Scoring in Differentiable Architecture Search
    2021/06/12 by Lichuan Xiang, Xiang, Lichuan, Łukasz Dudziak +9 · 2 citations
    Computer Science · Materials Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
  26. Photon: Federated LLM Pre-Training
    2024/11/05 by Lorenzo Sani, Sani, Lorenzo, Alex Iacob +18 · 6 citations
    Engineering · Physics and Astronomy · #Advanced Radiotherapy Techniques #Advanced X-ray and CT Imaging #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  27. Smart at what cost? Characterising Mobile Deep Neural Networks in the\n wild
    2021/09/28 by Mário Almeida, Almeida, Mario, Stefanos Laskaridis +10 · 2 citations
    Computer Science · Engineering · #Age of Information Optimization #FOS: Computer and information sciences #Green IT and Sustainability #IoT and Edge/Fog Computing #Machine Learning (cs.LG) #Performance (cs.PF)
  28. Learn2Agree: Fitting with Multiple Annotators without Objective Ground Truth
    2021/09/08 by Chongyang Wang, Yuan Gao, Wang, Chongyang +11 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Multi-Agent Systems and Negotiation #Topic Modeling
  29. Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients
    2022/02/16 by Milad Alizadeh, Alizadeh, Milad, Shyam A. Tailor +11 · 2 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  30. Predicting Patient Outcomes with Graph Representation Learning
    2021/01/11 by Emma Rocheteau, Catherine Tong, Rocheteau, Emma +7 · 2 citations
    Computer Science · Health Professions · #Artificial Intelligence in Healthcare #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Topic Modeling
  31. Federated Self-supervised Learning for Video Understanding
    2022/07/05 by Yasar Abbas Ur Rehman, Yan Gao, Rehman, Yasar Abbas Ur +7 · 2 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Privacy-Preserving Technologies in Data #Video Surveillance and Tracking Methods
  32. The Red Queen Gödel Machine: Co-Evolving Agents and Their Evaluators
    2026/06/24 by Alex Iacob, Andrej Jovanović, William F. Shen +10 · 4 voices
    Computer Science · #cs.LG #cs.AI #cs.MA #cs.NE
  33. Privacy-Preserving Deep Inference for Rich User Data on The Cloud
    2017/10/04 by Seyed Ali Ossia, Osia, Seyed Ali, Ali Shahin Shamsabadi +11 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Privacy-Preserving Technologies in Data
  34. How Data Inter-connectivity Shapes LLMs Unlearning: A Structural Unlearning Perspective
    2024/06/24 by Xinchi Qiu, Qiu, Xinchi, William F. Shen +10 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mathematics, Computing, and Information Processing #Natural Language Processing Techniques #Open Education and E-Learning
  35. Best of Both Worlds: AutoML Codesign of a CNN and its Hardware\n Accelerator
    2020/02/11 by Mohamed S. Abdelfattah, Abdelfattah, Mohamed S., Łukasz Dudziak +9 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning and Data Classification #Signal Processing (eess.SP) #electronic engineering #information engineering
  36. How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor
    2023/11/30 by Hrushikesh Loya, Loya, Hrushikesh, Łukasz Dudziak +11 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  37. EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and\n Bodily Expressions
    2020/01/21 by Joy Egede, Siyang Song, Egede, Joy O. +17 · 1 citation
    Medicine · Neuroscience · Psychology · #Computer Vision and Pattern Recognition (cs.CV) #EEG and Brain-Computer Interfaces #Emotion and Mood Recognition #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Musculoskeletal pain and rehabilitation #electronic engineering #information engineering
  38. Sheaf HyperNetworks for Personalized Federated Learning
    2024/05/31 by Bao Nguyen, Lorenzo Sani, Nguyen, Bao +7 · 3 citations
    Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  39. Federated Self-supervised Speech Representations: Are We There Yet?
    2022/04/06 by Yan Gao, Gao, Yan, Javier Fernández-Marqués +7 · 1 citation
    Computer Science · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Music and Audio Processing #Sound (cs.SD) #Speech Recognition and Synthesis #Speech and Audio Processing #electronic engineering #information engineering
  40. Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning?
    2025/05/26 by Zexi Li, Li, Zexi, xianghui wang +13 · 3 citations
    Computer Science · #Natural Language Processing Techniques
  41. Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs
    2022/09/27 by Alexandros Kouris, Stylianos I. Venieris, Kouris, Alexandros +5 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Age of Information Optimization #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #IoT and Edge/Fog Computing #Machine Learning (cs.LG)
  42. PQA: Exploring the Potential of Product Quantization in DNN Hardware Acceleration
    2023/05/25 by Ahmed F. AbouElhamayed, AbouElhamayed, Ahmed F., Javier Fernández-Marqués +6 · 1 citation
    Computer Science · #Distributed and Parallel Computing Systems #Embedded Systems Design Techniques #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Parallel Computing and Optimization Techniques
  43. FDAPT: Federated Domain-adaptive Pre-training for Language Models
    2023/07/12 by Lekang Jiang, Jiang, Lekang, Filip Svoboda +3 · 1 citation
    Computer Science · Health Professions · #Artificial Intelligence (cs.AI) #Distributed #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Interpreting and Communication in Healthcare #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
  44. Supercharging Federated Learning with Flower and NVIDIA FLARE
    2024/05/21 by Holger R. Roth, Roth, Holger R., Daniel J. Beutel +27 · 1 citation
    Computer Science · #Distributed #FOS: Computer and information sciences #Parallel #Privacy-Preserving Technologies in Data #Software Engineering (cs.SE) #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  45. Enhancing Data Quality in Federated Fine-Tuning of Foundation Models
    2024/03/07 by Wanru Zhao, Zhao, Wanru, Yaxin Du +7 · 1 citation
    Earth and Planetary Sciences · Engineering · #Geological Modeling and Analysis #3D Modeling in Geospatial Applications
  46. FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models
    2025/06/03 by Yan Gao, Massimo Roberto Scamarcia, Gao, Yan +39 · 4 citations
    Computer Science · #Privacy-Preserving Technologies in Data
  47. Space for Improvement: Navigating the Design Space for Federated Learning in Satellite Constellations
    2024/10/31 by Grace Kim, L. E. Powell, Kim, Grace +5 · 1 citation
    Engineering · Computer Science · #Satellite Communication Systems #Distributed systems and fault tolerance #Spacecraft Design and Technology
  48. Improving neutrino energy estimation of charged-current interaction events with recurrent neural networks in MicroBooNE
    2024/06/14 by P. Abratenko, MicroBooNE Collaboration, Abratenko, P. +278 · 1 citation
    Physics and Astronomy · #Astrophysics and Cosmic Phenomena #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Instrumentation and Detectors (physics.ins-det) #Neutrino Physics Research #Particle physics theoretical and experimental studies
  49. Exploring Code Language Models for Automated HLS-based Hardware Generation: Benchmark, Infrastructure and Analysis
    2025/02/19 by Jiahao Gai, Hong Hao, Gai, Jiahao +12 · 2 citations
    Computer Science · #Embedded Systems Design Techniques #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Parallel Computing and Optimization Techniques #Software Engineering (cs.SE) #Software Testing and Debugging Techniques
  50. Compliance Cards: Automated EU AI Act Compliance Analyses amidst a Complex AI Supply Chain
    2024/06/20 by Bill Marino, Marino, Bill, Yulu Pi +12 · 1 citation
    Economics, Econometrics and Finance · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Law #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Law, Economics, and Judicial Systems
  51. MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates
    2025/10/06 by Alex Iacob, Iacob, Alex, Mher Safaryan +14 · 1 citation
    Computer Science · Engineering · #Metaheuristic Optimization Algorithms Research #Advanced Control Systems Optimization