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Publication search results
found 14 matches
- 2024
- Neil Hurley
, Erika Duriakova, James Geraci, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Barry Smyth, Aonghus Lawlor:
ALS Algorithm for Robust and Communication-Efficient Federated Learning. EuroMLSys@EuroSys 2024: 56-64 - Diarmuid O'Reilly-Morgan, Elias Z. Tragos, James Geraci, Qinqin Wang, Neil Hurley, Barry Smyth, Aonghus Lawlor:
A Hybrid Decentralised Learning Topology for Recommendations with Improved Privacy. EuroMLSys@EuroSys 2024: 161-168 - 2023
- Elias Z. Tragos, Diarmuid O'Reilly-Morgan, James Geraci, Bichen Shi, Barry Smyth, Cailbhe Doherty, Aonghus Lawlor, Neil Hurley:
Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework. IJCAI 2023: 6237-6245 - 2020
- Khalil Muhammad, Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Barry Smyth, Neil Hurley, James Geraci, Aonghus Lawlor:
FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems. KDD 2020: 1234-1242 - Erika Duriakova, Weipéng Huáng, Elias Z. Tragos, Aonghus Lawlor, Barry Smyth, James Geraci, Neil Hurley:
An Algorithmic Framework for Decentralised Matrix Factorisation. ECML/PKDD (2) 2020: 307-323 - 2019
- Erika Duriakova, Elias Z. Tragos, Barry Smyth, Neil Hurley, Francisco J. Peña, Panagiotis Symeonidis, James Geraci, Aonghus Lawlor:
PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy. RecSys 2019: 457-461 - Bichen Shi, Makbule Gulcin Ozsoy, Neil Hurley, Barry Smyth, Elias Z. Tragos, James Geraci, Aonghus Lawlor:
PyRecGym: a reinforcement learning gym for recommender systems. RecSys 2019: 491-495 - 2017
- Joseph Geraci, Pamela Wilansky, Vincenzo De Luca, Anvesh Roy, James Kennedy, John Strauss:
Phenotyping youth depression for research recruitment using free text from electronic medical record. CRI 2017 - James R. Geraci, Parichay Kapoor:
A method of limiting performance loss of CNNs in noisy environments. CoRR abs/1702.00932 (2017) - 2015
- Myungsun Kim, Jinkyu Koo, Hyojung Lee, James R. Geraci:
Memory Management Scheme to Improve Utilization Efficiency and Provide Fast Contiguous Allocation without a Statically Reserved Area. ACM Trans. Design Autom. Electr. Syst. 21(1): 4:1-4:23 (2015) - 2014
- Myungsun Kim, Kibeom Kim, James R. Geraci, Seongsoo Hong:
Utilization-aware load balancing for the energy efficient operation of the big.LITTLE processor. DATE 2014: 1-4 - 2012
- James R. Geraci, Sharon M. Sacco:
A transpose-free in-place SIMD optimized FFT. ACM Trans. Archit. Code Optim. 9(3): 23:1-23:21 (2012) - 2010
- James R. Geraci, Erek R. Speed:
Improving program productivity, performance and portability through a high level language for graphics and game development. SIGGRAPH Posters 2010: 49:1 - 2008
- James R. Geraci:
A comparison of parallel Gaussian elimination solvers for the computation of electrochemical battery models on the cell processor. Massachusetts Institute of Technology, Cambridge, MA, USA, 2008
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