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ORCIDAnis Elgabli
Anis El Gabli
2020 – today
- 2025
[j21]Anis Elgabli
, Chaouki Ben Issaid, Mohamed Badi, Mehdi Bennis:
Quantized FedPD (QFedPD): Beyond Conventional Wisdom - The Energy Benefits of Frequent Communication. IEEE Internet Things J. 12(1): 502-514 (2025)- [j20]Anis Elgabli, Wessam Mesbah:
A Novel Approach for Differential Privacy-Preserving Federated Learning. IEEE Open J. Commun. Soc. 6: 466-476 (2025) - 2023
- [c22]Feyzi Ege Kumec, Aslihan Reyhanoglu, Emrah Kar, Bugra Turan, Sinem Coleri, Mehdi Bennis, Anis Elgabli, Deniz Gündüz, Sercan Karaagac:
Federated Learning for Pedestrian Detection in Vehicular Networks. BlackSeaCom 2023: 150-154 - [c21]Abdulmomen Ghalkha, Chaouki Ben Issaid, Anis Elgabli, Mehdi Bennis:
DIN: A Decentralized Inexact Newton Algorithm for Consensus Optimization. ICC 2023: 4391-4396 - [c20]Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, Mehdi Bennis:
Communication-Efficient Second-Order Newton-Type Approach for Decentralized Learning. WCNC 2023: 1-7 - [i28]Mohamed Badi, Chaouki Ben Issaid, Anis Elgabli, Mehdi Bennis:
Balancing Energy Efficiency and Distributional Robustness in Over-the-Air Federated Learning. CoRR abs/2312.14638 (2023) - 2022
- [j19]Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, Mehdi Bennis:
Communication-Efficient and Federated Multi-Agent Reinforcement Learning. IEEE Trans. Cogn. Commun. Netw. 8(1): 311-320 (2022) - [j18]Beatriz Soret, Lam Duc Nguyen, Jan Seeger, Arne Bröring, Chaouki Ben Issaid, Sumudu Samarakoon, Anis El Gabli, Vivek Kulkarni, Mehdi Bennis, Petar Popovski:
Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs. IEEE Trans. Green Commun. Netw. 6(1): 629-644 (2022) - [j17]Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, Mehdi Bennis:
Communication-Efficient Federated Learning: A Second Order Newton-Type Method With Analog Over-the-Air Aggregation. IEEE Trans. Green Commun. Netw. 6(3): 1862-1874 (2022) - [j16]Chaouki Ben Issaid, Anis Elgabli, Mehdi Bennis:
DR-DSGD: A Distributionally Robust Decentralized Learning Algorithm over Graphs. Trans. Mach. Learn. Res. 2022 (2022) - [j15]Chaouki Ben Issaid, Anis Elgabli, Jihong Park, Mehdi Bennis, Mérouane Debbah:
Communication Efficient Decentralized Learning Over Bipartite Graphs. IEEE Trans. Wirel. Commun. 21(6): 4150-4167 (2022) - [c19]Anis Elgabli, Chaouki Ben Issaid, Amrit Singh Bedi, Ketan Rajawat, Mehdi Bennis, Vaneet Aggarwal:
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning. ICML 2022: 5861-5877 - [c18]Chaouki Ben Issaid, Anis Elgabli, Mehdi Bennis:
Local Stochastic ADMM for Communication-Efficient Distributed Learning. WCNC 2022: 1880-1885 - [i27]Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Ketan Rajawat, Mehdi Bennis, Vaneet Aggarwal:
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning. CoRR abs/2206.08829 (2022) - [i26]Chaouki Ben Issaid, Anis Elgabli, Mehdi Bennis:
DR-DSGD: A Distributionally Robust Decentralized Learning Algorithm over Graphs. CoRR abs/2208.13810 (2022) - 2021
- [j14]Jihong Park, Sumudu Samarakoon, Anis Elgabli, Joongheon Kim, Mehdi Bennis, Seong-Lyun Kim, Mérouane Debbah:
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications. Proc. IEEE 109(5): 796-819 (2021) - [j13]Anis Elgabli, Jihong Park, Amrit Singh Bedi, Chaouki Ben Issaid, Mehdi Bennis, Vaneet Aggarwal:
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. IEEE Trans. Commun. 69(1): 164-181 (2021) - [j12]Anis Elgabli, Jihong Park, Chaouki Ben Issaid, Mehdi Bennis:
Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning. IEEE Trans. Commun. 69(8): 5194-5208 (2021) - [c17]Tamara Alshammari, Anis Elgabli, Mehdi Bennis:
MetaBayes: A Meta-Learning Framework from a Bayesian Perspective. ACSCC 2021: 351-355 - [c16]Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent. GLOBECOM 2021: 1-6 - [c15]Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, Mehdi Bennis:
Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation. GLOBECOM 2021: 1-6 - [c14]Tamara Alshammari, Sumudu Samarakoon, Anis Elgabli, Mehdi Bennis:
BayGo: Joint Bayesian Learning and Information-Aware Graph Optimization. ICC 2021: 1-6 - [c13]Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, Mehdi Bennis:
Energy-Efficient Model Compression and Splitting for Collaborative Inference Over Time-Varying Channels. PIMRC 2021: 1173-1178 - [i25]Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent. CoRR abs/2105.14772 (2021) - [i24]Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, Mehdi Bennis:
Energy-Efficient Model Compression and Splitting for Collaborative Inference Over Time-Varying Channels. CoRR abs/2106.00995 (2021) - [i23]Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, Mehdi Bennis:
Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation. CoRR abs/2106.00999 (2021) - [i22]Beatriz Soret, Lam Duc Nguyen, Jan Seeger, Arne Bröring, Chaouki Ben Issaid, Sumudu Samarakoon, Anis El Gabli, Vivek Kulkarni, Mehdi Bennis, Petar Popovski:
Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs. CoRR abs/2110.01686 (2021) - 2020
- [j11]Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning. J. Mach. Learn. Res. 21: 76:1-76:39 (2020) - [j10]Anis Elgabli, Vaneet Aggarwal:
FastScan: Robust Low-Complexity Rate Adaptation Algorithm for Video Streaming Over HTTP. IEEE Trans. Circuits Syst. Video Technol. 30(7): 2240-2249 (2020) - [j9]Anis Elgabli, Ke Liu, Vaneet Aggarwal:
Optimized Preference-Aware Multi-Path Video Streaming with Scalable Video Coding. IEEE Trans. Mob. Comput. 19(1): 159-172 (2020) - [c12]Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
Communication Efficient Framework for Decentralized Machine Learning. CISS 2020: 1-5 - [c11]Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. ICASSP 2020: 8876-8880 - [c10]Anis Elgabli, Jihong Park, Sabbir Ahmed, Mehdi Bennis:
L-FGADMM: Layer-Wise Federated Group ADMM for Communication Efficient Decentralized Deep Learning. WCNC 2020: 1-6 - [c9]Mounssif Krouka, Anis Elgabli, Mehdi Bennis:
Maximum Allowable Transfer Interval Aware Scheduling for Wireless Remote Monitoring. WCNC 2020: 1-6 - [i21]Hamza Khan, Anis Elgabli, Sumudu Samarakoon, Mehdi Bennis, Choong Seon Hong:
Reinforcement Learning Based Vehicle-cell Association Algorithm for Highly Mobile Millimeter Wave Communication. CoRR abs/2001.07915 (2020) - [i20]Jihong Park, Sumudu Samarakoon, Hamid Shiri, Mohamed K. Abdel-Aziz, Takayuki Nishio, Anis Elgabli, Mehdi Bennis:
Extreme URLLC: Vision, Challenges, and Key Enablers. CoRR abs/2001.09683 (2020) - [i19]Anis Elgabli, Jihong Park, Chaouki Ben Issaid, Mehdi Bennis:
Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning. CoRR abs/2007.01790 (2020) - [i18]Jihong Park, Sumudu Samarakoon, Anis Elgabli, Joongheon Kim, Mehdi Bennis, Seong-Lyun Kim, Mérouane Debbah:
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications. CoRR abs/2008.02608 (2020) - [i17]Chaouki Ben Issaid, Anis Elgabli, Jihong Park, Mehdi Bennis:
Communication Efficient Distributed Learning with Censored, Quantized, and Generalized Group ADMM. CoRR abs/2009.06459 (2020) - [i16]Tamara Alshammari, Sumudu Samarakoon, Anis Elgabli, Mehdi Bennis:
BayGo: Joint Bayesian Learning and Information-Aware Graph Optimization. CoRR abs/2011.04345 (2020) - [i15]Mounssif Krouka, Anis Elgabli, Mohammed Saad ElBamby, Cristina Perfecto, Mehdi Bennis, Vaneet Aggarwal:
Cross Layer Optimization and Distributed Reinforcement Learning Approach for Tile-Based 360 Degree Wireless Video Streaming. CoRR abs/2011.06356 (2020)
2010 – 2019
- 2019
- [j8]Hamza Khan, Anis Elgabli, Sumudu Samarakoon, Mehdi Bennis, Choong Seon Hong:
Reinforcement Learning-Based Vehicle-Cell Association Algorithm for Highly Mobile Millimeter Wave Communication. IEEE Trans. Cogn. Commun. Netw. 5(4): 1073-1085 (2019) - [j7]Anis Elgabli, Vaneet Aggarwal:
Deadline and Buffer Constrained Knapsack Problem. IEEE Trans. Circuits Syst. Video Technol. 29(5): 1564-1568 (2019) - [j6]Anis Elgabli, Muhamad Felemban, Vaneet Aggarwal:
GiantClient: Video HotSpot for Multi-User Streaming. IEEE Trans. Circuits Syst. Video Technol. 29(9): 2833-2843 (2019) - [j5]Anis Elgabli, Muhamad Felemban, Vaneet Aggarwal:
GroupCast: Preference-Aware Cooperative Video Streaming With Scalable Video Coding. IEEE/ACM Trans. Netw. 27(3): 1138-1150 (2019) - [j4]Anis Elgabli, Vaneet Aggarwal:
SmartStreamer: Preference-Aware Multipath Video Streaming Over MPTCP. IEEE Trans. Veh. Technol. 68(7): 6975-6984 (2019) - [j3]Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mark R. Bell:
A Low-Complexity Detection Algorithm for Uplink Massive MIMO Systems Based on Alternating Minimization. IEEE Wirel. Commun. Lett. 8(3): 917-920 (2019) - [c8]Abubakr O. Al-Abbasi, Ali A. Elghariani, Anis Elgabli, Vaneet Aggarwal:
On the Information Freshness and Tail Latency Trade-Off in Mobile Networks. GLOBECOM 2019: 1-6 - [c7]Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mehdi Bennis, Mark R. Bell:
A Proximal Jacobian ADMM Approach for Fast Massive MIMO Signal Detection in Low-Latency Communications. ICC 2019: 1-6 - [c6]Anis Elgabli, Hamza Khan, Mounssif Krouka, Mehdi Bennis:
Reinforcement Learning Based Scheduling Algorithm for Optimizing Age of Information in Ultra Reliable Low Latency Networks. ISCC 2019: 1-6 - [i14]Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mehdi Bennis, Mark R. Bell:
A Proximal Jacobian ADMM Approach for Fast Massive MIMO Signal Detection in Low-Latency Communications. CoRR abs/1903.00738 (2019) - [i13]Jihong Park, Shiqiang Wang, Anis Elgabli, Seungeun Oh, Eunjeong Jeong, Han Cha, Hyesung Kim, Seong-Lyun Kim, Mehdi Bennis:
Distilling On-Device Intelligence at the Network Edge. CoRR abs/1908.05895 (2019) - [i12]Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning. CoRR abs/1909.00047 (2019) - [i11]Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. CoRR abs/1910.10453 (2019) - [i10]Anis Elgabli, Jihong Park, Sabbir Ahmed, Mehdi Bennis:
L-FGADMM: Layer-Wise Federated Group ADMM for Communication Efficient Decentralized Deep Learning. CoRR abs/1911.03654 (2019) - 2018
- [j2]Anis Elgabli, Vaneet Aggarwal, Shuai Hao, Feng Qian, Subhabrata Sen:
LBP: Robust Rate Adaptation Algorithm for SVC Video Streaming. IEEE/ACM Trans. Netw. 26(4): 1633-1645 (2018) - [c5]Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mark R. Bell:
QoE-Aware Resource Allocation for Small Cells. GLOBECOM 2018: 1-6 - [c4]Anis Elgabli, Vaneet Aggarwal:
GroupCast: Preference-aware cooperative video streaming with scalable video coding. INFOCOM Workshops 2018: 616-621 - [c3]Anis Elgabli, Vaneet Aggarwal, Ke Liu:
Low Complexity Algorithm for Multi-path Video Streaming. SPCOM 2018: 287-291 - [i9]Anis Elgabli, Ke Liu, Vaneet Aggarwal:
Optimized Preference-Aware Multi-path Video Streaming with Scalable Video Coding. CoRR abs/1801.01980 (2018) - [i8]Anis Elgabli, Ali A. Elghariani, Abubakr O. Al-Abbasi, Mark R. Bell:
Two-Stage LASSO ADMM Signal Detection Algorithm For Large Scale MIMO. CoRR abs/1801.04973 (2018) - [i7]Anis Elgabli, Vaneet Aggarwal, Shuai Hao, Feng Qian, Subhabrata Sen:
DBABP: Robust Rate Adaptation Algorithm for SVC Video Streaming. CoRR abs/1805.00041 (2018) - [i6]Anis Elgabli, Vaneet Aggarwal:
FastScan: Robust Low-Complexity Rate Adaptation Algorithm for Video Streaming over HTTP. CoRR abs/1806.02803 (2018) - [i5]Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mark R. Bell:
QoE-Aware Resource Allocation for Small Cells. CoRR abs/1808.05675 (2018) - [i4]Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mark R. Bell:
A Low Complexity Detection Algorithm Based on Alternating Minimization. CoRR abs/1809.02119 (2018) - [i3]Anis Elgabli, Muhamad Felemban, Vaneet Aggarwal:
GroupCast: Preference-Aware Cooperative Video Streaming with Scalable Video Coding. CoRR abs/1809.10998 (2018) - [i2]Anis Elgabli, Hamza Khan, Mounssif Krouka, Mehdi Bennis:
Reinforcement Learning Based Scheduling Algorithm for Optimizing Age of Information in Ultra Reliable Low Latency Networks. CoRR abs/1811.06776 (2018) - 2017
- [j1]Vaneet Aggarwal, Mark R. Bell, Anis Elgabli, Xiaodong Wang, Shan Zhong:
Joint Energy-Bandwidth Allocation for Multiuser Channels With Cooperating Hybrid Energy Nodes. IEEE Trans. Veh. Technol. 66(11): 9880-9889 (2017) - [c2]Anis Elgabli, Ali A. Elghariani, Abubakr O. Al-Abbasi, Mark R. Bell:
Two-stage LASSO ADMM signal detection algorithm for large scale MIMO. ACSSC 2017: 1660-1664 - [c1]Vaneet Aggarwal, Mark R. Bell, Anis Elgabli, Xiaodong Wang, Shan Zhong:
Joint energy-bandwidth allocation for multi-user channels with cooperating hybrid energy nodes. ICC 2017: 1-6 - 2016
- [i1]Vaneet Aggarwal, Mark R. Bell, Anis Elgabli, Xiaodong Wang, Shan Zhong:
Joint Energy-Bandwidth Allocation for Multi-User Channels with Cooperating Hybrid Energy Nodes. CoRR abs/1611.05225 (2016)
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