Jia Liu
Orcid: 0000-0001-8844-3233Affiliations:
- Iowa State University, Department of Computer Science, Ames, IA, USA
- The Ohio State University, Department of Electrical and Computer Engineering, Columbus, OH, USA
- Virginia Tech, Bradley Department of Electrical and Computer Engineering, Blacksburg, VA, USA (PhD 2010)
According to our database1,
Jia Liu
authored at least 105 papers
between 2004 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on linkedin.com
-
on orcid.org
-
on dl.acm.org
On csauthors.net:
Bibliography
2023
PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities.
Proceedings of the Twenty-fourth International Symposium on Theory, 2023
DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization.
Proceedings of the IEEE INFOCOM 2023, 2023
2022
IEEE Trans. Sustain. Comput., 2022
IEEE Trans. Netw. Sci. Eng., 2022
Distributed Traffic Flow Consolidation for Power Efficiency of Large-Scale Data Center Network.
IEEE Trans. Cloud Comput., 2022
SAGDA: Achieving O(ε<sup>-2</sup>) Communication Complexity in Federated Min-Max Learning.
CoRR, 2022
CHARLES: Channel-Quality-Adaptive Over-the-Air Federated Learning over Wireless Networks.
Proceedings of the 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, 2022
Proceedings of the SACMAT '22: The 27th ACM Symposium on Access Control Models and Technologies, New York, NY, USA, June 8, 2022
Taming Fat-Tailed ("Heavier-Tailed" with Potentially Infinite Variance) Noise in Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
SAGDA: Achieving $\mathcal{O}(\epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
NET-FLEET: achieving linear convergence speedup for fully decentralized federated learning with heterogeneous data.
Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022
On scheduling ring-all-reduce learning jobs in multi-tenant GPU clusters with communication contention.
Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022
SYNTHESIS: a semi-asynchronous path-integrated stochastic gradient method for distributed learning in computing clusters.
Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022
INTERACT: achieving low sample and communication complexities in decentralized bilevel learning over networks.
Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022
Proceedings of the IEEE International Symposium on Information Theory, 2022
Proceedings of the IEEE INFOCOM 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward.
Proceedings of the Tenth International Conference on Learning Representations, 2022
A global convergence theory for deep ReLU implicit networks via over-parameterization.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Annual Computer Security Applications Conference, 2022
2021
IEEE Trans. Mob. Comput., 2021
Achieving Information Freshness With Selfish and Rational Users in Mobile Crowd-Learning.
IEEE J. Sel. Areas Commun., 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
CFedAvg: Achieving Efficient Communication and Fast Convergence in Non-IID Federated Learning.
Proceedings of the 19th International Symposium on Modeling and Optimization in Mobile, 2021
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021
GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning.
Proceedings of the MobiHoc '21: The Twenty-second International Symposium on Theory, 2021
Federated Learning with Fair Worker Selection: A Multi-Round Submodular Maximization Approach.
Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021
Low Sample and Communication Complexities in Decentralized Learning: A Triple Hybrid Approach.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021
A Sum-of-Ratios Multi-Dimensional-Knapsack Decomposition for DNN Resource Scheduling.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021
On the Convergence of Randomized Bregman Coordinate Descent for Non-Lipschitz Composite Problems.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021
2020
IEEE Trans. Netw. Sci. Eng., 2020
CoRR, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Adaptive Multi-Hierarchical signSGD for Communication-Efficient Distributed Optimization.
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Private and communication-efficient edge learning: a sparse differential gaussian-masking distributed SGD approach.
Proceedings of the Mobihoc '20: The Twenty-first ACM International Symposium on Theory, 2020
Communication-Efficient Network-Distributed Optimization with Differential-Coded Compressors.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 2020 IEEE International Conference on Communications, 2020
MATE: A Memory-Augmented Time-Expansion Approach for Optimal Trip-Vehicle Matching and Routing in Ride-Sharing.
Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020
Taming Convergence for Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
IEEE J. Sel. Areas Commun., 2019
Leveraging Two Reference Functions in Block Bregman Proximal Gradient Descent for Non-convex and Non-Lipschitz Problems.
CoRR, 2019
Distributed Linear Model Clustering over Networks: A Tree-Based Fused-Lasso ADMM Approach.
CoRR, 2019
Proceedings of the International Symposium on Modeling and Optimization in Mobile, 2019
On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019
Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
CoRR, 2018
Adaptive Stochastic Gradient Langevin Dynamics: Taming Convergence and Saddle Point Escape Time.
CoRR, 2018
Efficient and low-overhead uplink scheduling for large-scale wireless Internet-of-Things.
Proceedings of the 16th International Symposium on Modeling and Optimization in Mobile, 2018
High-Order Momentum: Improving Latency and Convergence for Wireless Network Optimization.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018
Proceedings of the Ninth International Conference on Future Energy Systems, 2018
Proceedings of the 34th Annual Computer Security Applications Conference, 2018
2017
Understanding the Impacts of Limited Channel State Information on Massive MIMO Cellular Network Optimization.
IEEE J. Sel. Areas Commun., 2017
DISCO: Distributed traffic flow consolidation for power efficient data center network.
Proceedings of the 2017 IFIP Networking Conference, 2017
2016
Joint Congestion Control and Routing Optimization: An Efficient Second-Order Distributed Approach.
IEEE/ACM Trans. Netw., 2016
Achieving Low-Delay and Fast-Convergence in Stochastic Network Optimization: A Nesterovian Approach.
Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science, 2016
Understanding the impact of limited channel state information on massive MIMO network performances.
Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2016
Heavy-ball: A new approach to tame delay and convergence in wireless network optimization.
Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016
2015
On wireless network infrastructure optimisation for cyber-physical systems in future smart buildings.
Int. J. Sens. Networks, 2015
2014
IEEE Trans. Mob. Comput., 2014
Distributed optimal load shedding for disaster recovery in smart electric power grids: a second-order approach.
Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2014
2013
IEEE Trans. Mob. Comput., 2013
On distributed computation rate optimization for deploying cloud computing programming frameworks.
SIGMETRICS Perform. Evaluation Rev., 2013
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013
2012
IEEE Trans. Mob. Comput., 2012
Optimal Power Allocation in Multi-Relay MIMO Cooperative Networks: Theory and Algorithms.
IEEE J. Sel. Areas Commun., 2012
Femtocell Base Station Deployment in Commercial Buildings: A Global Optimization Approach.
IEEE J. Sel. Areas Commun., 2012
On Wireless Network Infrastructure Optimization for Cyber-Physical Systems in Future Smart Buildings.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2012
A distributed Newton's method for joint multi-hop routing and flow control: Theory and algorithm.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012
Algorithm design for femtocell base station placement in commercial building environments.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012
2011
A Distributed Newton Approach for Joint Multi-Hop Routing and Flow Control: Theory and Algorithm
CoRR, 2011
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011
2010
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010
2009
How to correctly use the protocol interference model for multi-hop wireless networks.
Proceedings of the 10th ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, 2009
Proceedings of the 10th ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, 2009
Optimal power allocation for achieving perfect secrecy capacity in MIMO wire-tap channels.
Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009
2008
IEEE Trans. Wirel. Commun., 2008
Cross-Layer Optimization for MIMO-Based Wireless Ad Hoc Networks: Routing, Power Allocation, and Bandwidth Allocation.
IEEE J. Sel. Areas Commun., 2008
Proceedings of the INFOCOM 2008. 27th IEEE International Conference on Computer Communications, 2008
Proceedings of IEEE International Conference on Communications, 2008
Proceedings of IEEE International Conference on Communications, 2008
2007
CoRR, 2007
Cross-Layer Optimization of MIMO-Based Mesh Networks with Gaussian Vector Broadcast Channels
CoRR, 2007
Proceedings of the IEEE Wireless Communications and Networking Conference, 2007
Proceedings of the IEEE International Symposium on Information Theory, 2007
2006
Proceedings of the Global Telecommunications Conference, 2006. GLOBECOM '06, San Francisco, CA, USA, 27 November, 2006
2004
Proceedings of the 60th IEEE Vehicular Technology Conference, 2004
Proceedings of the Global Telecommunications Conference, 2004. GLOBECOM '04, Dallas, Texas, USA, 29 November, 2004