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ORCIDAmir Salman Avestimehr
Salman Avestimehr
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- affiliation: University of Southern California, Los Angeles, USA
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2020 – today
- 2021
[j59]Saurav Prakash
, Sagar Dhakal, Mustafa Riza Akdeniz, Yair Yona, Shilpa Talwar, Salman Avestimehr, Nageen Himayat:
Coded Computing for Low-Latency Federated Learning Over Wireless Edge Networks. IEEE J. Sel. Areas Commun. 39(1): 233-250 (2021)- [j58]Qian Yu, Amir Salman Avestimehr:
Coded Computing for Resilient, Secure, and Privacy-Preserving Distributed Matrix Multiplication. IEEE Trans. Commun. 69(1): 59-72 (2021) - [j57]Songze Li, Mingchao Yu, Chien-Sheng Yang, Amir Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. IEEE Trans. Inf. Forensics Secur. 16: 249-261 (2021) - [i130]Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, Amir Salman Avestimehr:
List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier. CoRR abs/2101.11653 (2021) - [i129]Chaoyang He, Shen Li, Mahdi Soltanolkotabi, Salman Avestimehr:
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers. CoRR abs/2102.03161 (2021) - 2020
- [j56]Songze Li, Salman Avestimehr:
Coded Computing. Found. Trends Commun. Inf. Theory 17(1): 1-148 (2020) - [j55]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Straggler Mitigation in Distributed Matrix Multiplication: Fundamental Limits and Optimal Coding. IEEE Trans. Inf. Theory 66(3): 1920-1933 (2020) - [j54]Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr:
Coded Computing for Distributed Graph Analytics. IEEE Trans. Inf. Theory 66(10): 6534-6554 (2020) - [j53]Basak Güler, Amir Salman Avestimehr, Antonio Ortega:
TACC: Topology-Aware Coded Computing for Distributed Graph Processing. IEEE Trans. Signal Inf. Process. over Networks 6: 508-525 (2020) - [c122]Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
Coded Merkle Tree: Solving Data Availability Attacks in Blockchains. Financial Cryptography 2020: 114-134 - [c121]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Coded Computing in Unknown Environment via Online Learning. ISIT 2020: 185-190 - [c120]Songze Li, Mingchao Yu, Chien-Sheng Yang, Amir Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. ISIT 2020: 203-208 - [c119]Qian Yu, Amir Salman Avestimehr:
Entangled Polynomial Codes for Secure, Private, and Batch Distributed Matrix Multiplication: Breaking the "Cubic" Barrier. ISIT 2020: 245-250 - [c118]Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr:
Hierarchical Coded Gradient Aggregation for Learning at the Edge. ISIT 2020: 2616-2621 - [c117]Saeid Sahraei, Mohammad Ali Maddah-Ali, Salman Avestimehr:
Interactive Verifiable Polynomial Evaluation. ISIT 2020: 2843-2848 - [c116]Chaoyang He, Murali Annavaram, Salman Avestimehr:
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge. NeurIPS 2020 - [c115]Seyed Mohammadreza Mousavi Kalan, Zalan Fabian, Salman Avestimehr, Mahdi Soltanolkotabi:
Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks. NeurIPS 2020 - [c114]Jinhyun So, Basak Güler, Salman Avestimehr:
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning. NeurIPS 2020 - [i128]Qian Yu, Amir Salman Avestimehr:
Entangled Polynomial Codes for Secure, Private, and Batch Distributed Matrix Multiplication: Breaking the "Cubic" Barrier. CoRR abs/2001.05101 (2020) - [i127]Chien-Sheng Yang, Amir Salman Avestimehr:
Coded Computing for Boolean Functions. CoRR abs/2001.08720 (2020) - [i126]Saeid Sahraei, Salman Avestimehr:
InfoCommit: Information-Theoretic Polynomial Commitment and Verification. CoRR abs/2002.00559 (2020) - [i125]Jinhyun So, Basak Guler, Amir Salman Avestimehr:
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning. CoRR abs/2002.04156 (2020) - [i124]Chaoyang He, Murali Annavaram, Salman Avestimehr:
FedNAS: Federated Deep Learning via Neural Architecture Search. CoRR abs/2004.08546 (2020) - [i123]Seyed Mohammadreza Mousavi Kalan, Zalan Fabian, Amir Salman Avestimehr, Mahdi Soltanolkotabi:
Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks. CoRR abs/2006.10581 (2020) - [i122]Saurav Prakash, Sagar Dhakal, Mustafa Riza Akdeniz, Amir Salman Avestimehr, Nageen Himayat:
Coded Computing for Federated Learning at the Edge. CoRR abs/2007.03273 (2020) - [i121]Mahdi Soleymani, Hessam Mahdavifar, Amir Salman Avestimehr:
Privacy-Preserving Distributed Learning in the Analog Domain. CoRR abs/2007.08803 (2020) - [i120]Jinhyun So, Basak Guler, Amir Salman Avestimehr:
Byzantine-Resilient Secure Federated Learning. CoRR abs/2007.11115 (2020) - [i119]Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr:
FedML: A Research Library and Benchmark for Federated Machine Learning. CoRR abs/2007.13518 (2020) - [i118]Chaoyang He, Murali Annavaram, Salman Avestimehr:
Group Knowledge Transfer: Collaborative Training of Large CNNs on the Edge. CoRR abs/2007.14513 (2020) - [i117]Mahdi Soleymani, Hessam Mahdavifar, Amir Salman Avestimehr:
Analog Lagrange Coded Computing. CoRR abs/2008.08565 (2020) - [i116]Ahmed Roushdy Elkordy, Amir Salman Avestimehr:
Secure Aggregation with Heterogeneous Quantization in Federated Learning. CoRR abs/2009.14388 (2020) - [i115]Saurav Prakash, Amir Salman Avestimehr:
Mitigating Byzantine Attacks in Federated Learning. CoRR abs/2010.07541 (2020) - [i114]Jinhyun So, Basak Guler, Amir Salman Avestimehr:
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning. CoRR abs/2011.01963 (2020) - [i113]Ramy E. Ali, Jinhyun So, Amir Salman Avestimehr:
On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks. CoRR abs/2011.05530 (2020) - [i112]Saurav Prakash, Sagar Dhakal, Mustafa Riza Akdeniz, Yair Yona, Shilpa Talwar, Salman Avestimehr, Nageen Himayat:
Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks. CoRR abs/2011.06223 (2020) - [i111]Saeid Sahraei, Salman Avestimehr:
InfoCommit: Information-Theoretic Polynomial Commitment and Verification. IACR Cryptol. ePrint Arch. 2020: 118 (2020) - [i110]Jinhyun So, Basak Guler, Amir Salman Avestimehr:
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning. IACR Cryptol. ePrint Arch. 2020: 167 (2020)
2010 – 2019
- 2019
- [j52]Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Cache-Aided Interference Management in Wireless Cellular Networks. IEEE Trans. Commun. 67(5): 3376-3387 (2019) - [j51]Seyed Mohammad Asghari, Yi Ouyang, Ashutosh Nayyar, Amir Salman Avestimehr:
An Approximation Algorithm for Optimal Clique Cover Delivery in Coded Caching. IEEE Trans. Commun. 67(7): 4683-4695 (2019) - [j50]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Characterizing the Rate-Memory Tradeoff in Cache Networks Within a Factor of 2. IEEE Trans. Inf. Theory 65(1): 647-663 (2019) - [j49]Aamir Anis, Aly El Gamal, Amir Salman Avestimehr, Antonio Ortega:
A Sampling Theory Perspective of Graph-Based Semi-Supervised Learning. IEEE Trans. Inf. Theory 65(4): 2322-2342 (2019) - [j48]Mehrdad Kiamari, Amir Salman Avestimehr:
Capacity Region of the Symmetric Injective K-User Deterministic Interference Channel. IEEE Trans. Inf. Theory 65(7): 4010-4022 (2019) - [j47]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr:
Coded Computation Over Heterogeneous Clusters. IEEE Trans. Inf. Theory 65(7): 4227-4242 (2019) - [j46]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Communication-Aware Scheduling of Serial Tasks for Dispersed Computing. IEEE/ACM Trans. Netw. 27(4): 1330-1343 (2019) - [j45]Navid Azizan Ruhi, Farshad Lahouti, Amir Salman Avestimehr, Babak Hassibi:
Distributed Solution of Large-Scale Linear Systems via Accelerated Projection-Based Consensus. IEEE Trans. Signal Process. 67(14): 3806-3817 (2019) - [c113]Qian Yu, Songze Li, Netanel Raviv, Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr:
Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy. AISTATS 2019: 1215-1225 - [c112]Basak Güler, Ajinkya Jayawant, Amir Salman Avestimehr, Antonio Ortega:
Robust Graph Signal Sampling. ICASSP 2019: 7520-7524 - [c111]Bagak Guler, Amir Salman Avestimehr, Antonio Ortega:
A Topology-aware Coding Framework for Distributed Graph Processing. ICASSP 2019: 8182-8186 - [c110]Qian Yu, Amir Salman Avestimehr:
Harmonic Coding: An Optimal Linear Code for Privacy-Preserving Gradient-Type Computation. ISIT 2019: 1102-1106 - [c109]Saeid Sahraei, Amir Salman Avestimehr:
INTERPOL: Information Theoretically Verifiable Polynomial Evaluation. ISIT 2019: 1112-1116 - [c108]Netanel Raviv, Qian Yu, Jehoshua Bruck, Salman Avestimehr:
Download and Access Trade-offs in Lagrange Coded Computing. ISIT 2019: 1787-1791 - [c107]Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr:
Fitting ReLUs via SGD and Quantized SGD. ISIT 2019: 2469-2473 - [c106]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Timely Coded Computing. ISIT 2019: 2798-2802 - [c105]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr:
Tree Gradient Coding. ISIT 2019: 2808-2812 - [c104]Basak Güler, Amir Salman Avestimehr, Antonio Ortega:
Privacy-Aware Distributed Graph-Based Semi-Supervised Learning. MLSP 2019: 1-6 - [c103]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Timely-Throughput Optimal Coded Computing over Cloud Networks. MobiHoc 2019: 301-310 - [c102]Songze Li, Saeid Sahraei, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
Coded State Machine - Scaling State Machine Execution under Byzantine Faults. PODC 2019: 150-152 - [c101]Krishna Giri Narra, Zhifeng Lin, Mehrdad Kiamari, Salman Avestimehr, Murali Annavaram:
Slack squeeze coded computing for adaptive straggler mitigation. SC 2019: 14:1-14:16 - [i109]Saeid Sahraei, Amir Salman Avestimehr:
INTERPOL: Information Theoretically Verifiable Polynomial Evaluation. CoRR abs/1901.03379 (2019) - [i108]Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr:
Fitting ReLUs via SGD and Quantized SGD. CoRR abs/1901.06587 (2019) - [i107]Jinhyun So, Basak Guler, Amir Salman Avestimehr, Payman Mohassel:
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning. CoRR abs/1902.00641 (2019) - [i106]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr:
CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning. CoRR abs/1902.01981 (2019) - [i105]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Timely-Throughput Optimal Coded Computing over Cloud Networks. CoRR abs/1904.05522 (2019) - [i104]Krishna Narra, Zhifeng Lin, Mehrdad Kiamari, Salman Avestimehr, Murali Annavaram:
Distributed Matrix Multiplication Using Speed Adaptive Coding. CoRR abs/1904.07098 (2019) - [i103]Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram:
Collage Inference: Tolerating Stragglers in Distributed Neural Network Inference using Coding. CoRR abs/1904.12222 (2019) - [i102]Qian Yu, Amir Salman Avestimehr:
Harmonic Coding: An Optimal Linear Code for Privacy-Preserving Gradient-Type Computation. CoRR abs/1904.13206 (2019) - [i101]Krishna Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram:
Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models. CoRR abs/1906.03999 (2019) - [i100]Songze Li, Saeid Sahraei, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
Coded State Machine - Scaling State Machine Execution under Byzantine Faults. CoRR abs/1906.10817 (2019) - [i99]Saeid Sahraei, Mohammad Ali Maddah-Ali, Salman Avestimehr:
Interactive Verifiable Polynomial Evaluation. CoRR abs/1907.04302 (2019) - [i98]Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
Coded Merkle Tree: Solving Data Availability Attacks in Blockchains. CoRR abs/1910.01247 (2019) - [i97]Zhifeng Lin, Krishna Giri Narra, Mingchao Yu, Salman Avestimehr, Murali Annavaram:
Train Where the Data is: A Case for Bandwidth Efficient Coded Training. CoRR abs/1910.10283 (2019) - [i96]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Edge Computing in the Dark: Leveraging Contextual-Combinatorial Bandit and Coded Computing. CoRR abs/1912.09512 (2019) - [i95]Pradipta Ghosh, Quynh Nguyen, Pranav K. Sakulkar, Aleksandra Knezevic, Jason A. Tran, Jiatong Wang, Zhifeng Lin, Bhaskar Krishnamachari, Murali Annavaram, Salman Avestimehr:
Jupiter: A Networked Computing Architecture. CoRR abs/1912.10643 (2019) - [i94]Jinhyun So, Basak Guler, Amir Salman Avestimehr, Payman Mohassel:
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning. IACR Cryptol. ePrint Arch. 2019: 140 (2019) - [i93]Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
Coded Merkle Tree: Solving Data Availability Attacks in Blockchains. IACR Cryptol. ePrint Arch. 2019: 1139 (2019) - 2018
- [j44]Sina Lashgari, Amir Salman Avestimehr:
Secrecy DoF of Blind MIMOME Wiretap Channel With Delayed CSIT. IEEE Trans. Inf. Forensics Secur. 13(2): 478-489 (2018) - [j43]Songze Li, Mohammad Ali Maddah-Ali, Qian Yu, Amir Salman Avestimehr:
A Fundamental Tradeoff Between Computation and Communication in Distributed Computing. IEEE Trans. Inf. Theory 64(1): 109-128 (2018) - [j42]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
The Exact Rate-Memory Tradeoff for Caching With Uncoded Prefetching. IEEE Trans. Inf. Theory 64(2): 1281-1296 (2018) - [c100]Navid Azizan Ruhi, Farshad Lahouti, Salman Avestimehr, Babak Hassibi:
Distributed Solution of Large-Scale Linear Systems Via Accelerated Projection-Based Consensus. ICASSP 2018: 6358-6362 - [c99]Seyed Mohammad Asghari, Yi Ouyang, Ashutosh Nayyar, Amir Salman Avestimehr:
Optimal Coded Multicast in Cache Networks with Arbitrary Content Placement. ICC 2018: 1-6 - [c98]Songze Li, Seyed Mohammadreza Mousavi Kalan, Amir Salman Avestimehr, Mahdi Soltanolkotabi:
Near-Optimal Straggler Mitigation for Distributed Gradient Methods. IPDPS Workshops 2018: 857-866 - [c97]Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr:
Coded Computing for Distributed Graph Analytics. ISIT 2018: 1221-1225 - [c96]Chien-Sheng Yang, Amir Salman Avestimehr, Ramtin Pedarsani:
Communication-Aware Scheduling of Serial Tasks for Dispersed Computing. ISIT 2018: 1226-1230 - [c95]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Straggler Mitigation in Distributed Matrix Multiplication: Fundamental Limits and Optimal Coding. ISIT 2018: 2022-2026 - [c94]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Compressed Coded Distributed Computing. ISIT 2018: 2032-2036 - [c93]Qian Yu, Netanel Raviv, Amir Salman Avestimehr:
Coding for Private and Secure Multiparty Computing. ITW 2018: 1-5 - [c92]Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr:
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. NeurIPS 2018: 5129-5139 - [c91]Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander G. Schwing:
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training. NeurIPS 2018: 8056-8067 - [i92]Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Salman Avestimehr:
Coded Computing for Distributed Graph Analytics. CoRR abs/1801.05522 (2018) - [i91]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Straggler Mitigation in Distributed Matrix Multiplication: Fundamental Limits and Optimal Coding. CoRR abs/1801.07487 (2018) - [i90]Amir Salman Avestimehr, Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi:
Fundamental Resource Trade-offs for Encoded Distributed Optimization. CoRR abs/1804.00217 (2018) - [i89]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Communication-Aware Scheduling of Serial Tasks for Dispersed Computing. CoRR abs/1804.06468 (2018) - [i88]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Compressed Coded Distributed Computing. CoRR abs/1805.01993 (2018) - [i87]Songze Li, Seyed Mohammadreza Mousavi Kalan, Qian Yu, Mahdi Soltanolkotabi, Amir Salman Avestimehr:
Polynomially Coded Regression: Optimal Straggler Mitigation via Data Encoding. CoRR abs/1805.09934 (2018) - [i86]Qian Yu, Netanel Raviv, Jinhyun So, Amir Salman Avestimehr:
Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy. CoRR abs/1806.00939 (2018) - [i85]Songze Li, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. CoRR abs/1809.10361 (2018) - [i84]Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr:
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. CoRR abs/1811.03617 (2018) - [i83]Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander G. Schwing:
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training. CoRR abs/1811.03619 (2018) - [i82]Songze Li, Mingchao Yu, Amir Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. IACR Cryptol. ePrint Arch. 2018: 925 (2018) - 2017
- [j41]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Coding for Distributed Fog Computing. IEEE Commun. Mag. 55(4): 34-40 (2017) - [j40]Alireza Vahid, Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal:
Interference management with mismatched partial channel state information. EURASIP J. Wirel. Commun. Netw. 2017: 134 (2017) - [j39]Heecheol Yang, Navid Naderializadeh, Amir Salman Avestimehr, Jungwoo Lee:
Topological Interference Management With Reconfigurable Antennas. IEEE Trans. Commun. 65(11): 4926-4939 (2017) - [j38]David T. H. Kao, Amir Salman Avestimehr:
Linear Degrees of Freedom of the MIMO X-Channel With Delayed CSIT. IEEE Trans. Inf. Theory 63(1): 297-319 (2017) - [j37]David T. H. Kao, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Blind Index Coding. IEEE Trans. Inf. Theory 63(4): 2076-2097 (2017) - [j36]Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Fundamental Limits of Cache-Aided Interference Management. IEEE Trans. Inf. Theory 63(5): 3092-3107 (2017) - [j35]Alireza Vahid, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr, Yan Zhu:
Binary Fading Interference Channel With No CSIT. IEEE Trans. Inf. Theory 63(6): 3565-3578 (2017) - [j34]Navid Naderializadeh, Aly El Gamal, Amir Salman Avestimehr:
Fundamental Limits of Non-Coherent Interference Alignment via Matroid Theory. IEEE Trans. Inf. Theory 63(10): 6573-6586 (2017) - [j33]Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
A Scalable Framework for Wireless Distributed Computing. IEEE/ACM Trans. Netw. 25(5): 2643-2654 (2017) - [c90]Mehrdad Kiamari, Chenwei Wang, Amir Salman Avestimehr:
Coding for edge-facilitated wireless distributed computing with heterogeneous users. ACSSC 2017: 536-540 - [c89]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Coded fourier transform. Allerton 2017: 494-501 - [c88]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Architectures for coded mobile edge computing. FWC 2017: 1-6 - [c87]Mehrdad Kiamari, Chenwei Wang, Amir Salman Avestimehr:
On Heterogeneous Coded Distributed Computing. GLOBECOM 2017: 1-7 - [c86]Mehrdad Kiamari, Chenwei Wang, Amir Salman Avestimehr, Haralabos C. Papadopoulos:
SINR-Threshold Scheduling with Binary Power Control for D2D Networks. GLOBECOM 2017: 1-7 - [c85]Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Cache-aided interference management in wireless cellular networks. ICC 2017: 1-7 - [c84]Qian Yu, Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
How to optimally allocate resources for coded distributed computing? ICC 2017: 1-7 - [c83]Songze Li, Sucha Supittayapornpong, Mohammad Ali Maddah-Ali, Salman Avestimehr:
Coded TeraSort. IPDPS Workshops 2017: 389-398 - [c82]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Characterizing the rate-memory tradeoff in cache networks within a factor of 2. ISIT 2017: 386-390 - [c81]Mehrdad Kiamari, Amir Salman Avestimehr:
Capacity region of the symmetric injective K-user Deterministic Interference Channel. ISIT 2017: 639-643 - [c80]Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
On the optimality of separation between caching and delivery in general cache networks. ISIT 2017: 1232-1236 - [c79]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
The exact rate-memory tradeoff for caching with uncoded prefetching. ISIT 2017: 1613-1617 - [c78]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Salman Avestimehr:
Coded computation over heterogeneous clusters. ISIT 2017: 2408-2412 - [c77]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Communication-aware computing for edge processing. ISIT 2017: 2885-2889 - [c76]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Communication-optimal coding designs for caching networks. ITW 2017: 6-10 - [c75]Qian Yu, Mohammad Ali Maddah-Ali, Salman Avestimehr:
Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication. NIPS 2017: 4403-4413 - [i81]Amirhossein Reisizadehmobarakeh, Saurav Prakash, Ramtin Pedarsani, Salman Avestimehr:
Coded Computation over Heterogeneous Clusters. CoRR abs/1701.05973 (2017) - [i80]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Characterizing the Rate-Memory Tradeoff in Cache Networks within a Factor of 2. CoRR abs/1702.04563 (2017) - [i79]