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The geometric median, an instrumental component of the secure machine learning toolbox, is known to be effective when robustly aggregating models (or gradients), gathered from potentially malicious (or strategic) users.
Manipulation of voting schemes: a general result
Gibbard, A. (1973) · 1973
Earlier work this paper cites.
Strategy-proofness and arrow’s conditions: Existence and correspondence theorems for voting procedures and social welfare functions
Satterthwaite, M. A. (1975) · 1975
Earlier work this paper cites.
On strategy-proofness and single peakedness
Moulin, H. (1980) · 1980
Earlier work this paper cites.
Straightforward elections, unanimity and phantom voters
Border, K. C. and Jordan, J. S. (1983) · 1983
Earlier work this paper cites.
Nonmanipulability in two dimensions
Kim, K. and Roush, F. (1984) · 1984
Earlier work this paper cites.
The minisum and minimax location problems revisited
Hansen, P., Peeters, D., Richard, D., and Thisse, J.-F. (1985) · 1985
Earlier work this paper cites.
On the relation between s-estimators and m-estimators of multivariate location and covariance
Lopuhaa, H. P. and Rousseeuw, P. J. (1989) · 1989
Earlier work this paper cites.
How small is a unit ball?
Smith, D. J. and Vamanamurthy, M. K. (1989) · 1989
Earlier work this paper cites.
Acceleration of stochastic approximation by averaging
Polyak, B. T. and Juditsky, A. B. (1992) · 1992
Earlier work this paper cites.
A spatial analogue of may’s theorem
Brady, R. L. and Chambers, C. P. (1995) · 1995
Earlier work this paper cites.
Voting under constraints
Barberà, S., Massó, J., and Neme, A. (1997) · 1997
Earlier work this paper cites.
Strategy-proof voting on compact ranges
Barberà, S., Massó, J., and Serizawa, S. (1998) · 1998
Earlier work this paper cites.
Foundations of dominant-strategy mechanisms
Chung, K.-S. and Ely, J. C. (2007) · 2007
Earlier work this paper cites.
Coordinate-wise median: Not bad, not bad, pretty good
Goel, S. and Hann-Caruthers, W. (2020) · 2007
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Tighter bounds for facility games
Lu, P., Wang, Y., and Zhou, Y. (2009) · 2009
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Strategy proof mechanisms for facility location in euclidean and manhattan space
Walsh, T. (2020) · 2009
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Strategyproof approximation mechanisms for location on networks
Alon, N., Feldman, M., Procaccia, A., and Tennenholtz, M. (2010) · 2010
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Does platform migration compromise content moderation? evidence from r/the_donald and r/incels
Ribeiro, M. H., Jhaver, S., Zannettou, S., Blackburn, J., Cristofaro, E. D., Stringhini, G., and West, R. (2020) · 2010
Earlier work this paper cites.
Parallelized stochastic gradient descent
Zinkevich, M., Weimer, M., Li, L., and Smola, A. (2010) · 2010
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Strategy-proof mechanisms for facility location games with many facilities
Escoffier, B., Gourvès, L., Kim Thang, N., Pascual, F., and Spanjaard, O. (2011) · 2011
Earlier work this paper cites.
Approximate strategyproofness
Lubin, B. and Parkes, D. C. (2012) · 2012
Cited alongside, same era.
On the power of deterministic mechanisms for facility location games
Fotakis, D. and Tzamos, C. (2013) · 2013
Cited alongside, same era.
Approximate mechanism design without money
Procaccia, A. D. and Tennenholtz, M. (2013) · 2013
Cited alongside, same era.
Strategyproof mechanism design for facility location games with weighted agents on a line
Zhang, Q. and Li, M. (2014) · 2014
Cited alongside, same era.
TensorFlow: Large-scale machine learning on heterogeneous distributed systems
Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G., Davis, A., Dean, J., Devin, M., Ghemawat, S., Goodfellow, I., Harp, A., Irving, G., Isard, M., Jia, Y., Jozefowicz, R., Kaiser, L., Kudlur, M., Levenberg, J., Mané, D., Monga, R., Moore, S., Murray, D., Olah, C., Schuster, M., Shlens, J., Steiner, B., Sutskever, I., Talwar, K., Tucker, P., Vanhoucke, V., Vasudevan, V., Viégas, F., Vinyals, O., Warden, P., Wattenberg, M., Wicke, M., Yu, Y., and Zheng, X. (2015) · 2015
Cited alongside, same era.
Mechanism design for constrained heterogeneous facility location
Kyropoulou, M., Ventre, C., and Zhang, X. (2019) · 2019
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Detox: A redundancy-based framework for faster and more robust gradient aggregation
Rajput, S., Wang, H., Charles, Z., and Papailiopoulos, D. (2019) · 2019
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The” weaponization” of facebook in myanmar: A case for corporate criminal liability
Yue, N. (2019) · 2019
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Covert hate speech: white nationalists and dog whistle communication on Twitter
Bhat, P. and Klein, O. (2020) · 2020
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Personalized federated learning with moreau envelopes
Dinh, C. T., Tran, N. H., and Nguyen, T. D. (2020) · 2020
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Science communication desperately needs more aligned recommendation algorithms
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Strategyproof mechanisms for one-dimensional hybrid and obnoxious facility location models
Feigenbaum, I. and Sethuraman, J. (2015) · 2015
Cited alongside, same era.
An approximately truthful mechanism for electric vehicle charging via joint differential privacy
Han, S., Topcu, U., and Pappas, G. J. (2015) · 2015
Cited alongside, same era.
Geometric median and robust estimation in banach spaces
Minsker, S. (2015) · 2015
Cited alongside, same era.
Approximately strategy-proof mechanisms for (constrained) facility location
Sui, X. and Boutilier, C. (2015) · 2015
Cited alongside, same era.
Approximately truthful mechanisms for radio spectrum allocation
Wang, Q., Ye, B., Xu, T., Lu, S., and Guo, S. (2015) · 2015
Cited alongside, same era.
Handbook of computational social choice
Brandt, F., Conitzer, V., Endriss, U., Lang, J., and Procaccia, A. D. (2016) · 2016
Cited alongside, same era.
Geometric median in nearly linear time
Cohen, M. B., Lee, Y. T., Miller, G. L., Pachocki, J., and Sidford, A. (2016) · 2016
Cited alongside, same era.
Hoang, L. N. (2020) · 2020
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Cleaning up social media: The effect of warning labels on likelihood of sharing false news on Facebook
Mena, P. (2020) · 2020
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Can we amplify the good and contain the bad of social media?
Michelman, P. (2020) · 2020
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Characterization of group-strategyproof mechanisms for facility location in strictly convex space
Tang, P., Yu, D., and Zhao, S. (2020) · 2020
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Poison if you don’t know how to use it: Facebook, democracy, and human rights in myanmar
Whitten-Woodring, J., Kleinberg, M. S., Thawnghmung, A., and Thitsar, M. T. (2020) · 2020
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Federated variance-reduced stochastic gradient descent with robustness to Byzantine attacks
Wu, Z., Ling, Q., Chen, T., and Giannakis, G. B. (2020) · 2020
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Strategyproof learning: Building trustworthy user-generated datasets
Farhadkhani, S., Guerraoui, R., and Hoang, L.-N. (2021) · 2021
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Detecting malicious model updates from federated learning on conditional variational autoencoder
Gu, Z. and Yang, Y. (2021) · 2021
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Advances and open problems in federated learning
Kairouz, P., McMahan, H. B., Avent, B., Bellet, A., Bennis, M., Bhagoji, A. N., Bonawitz, K., Charles, Z., Cormode, G., Cummings, R., D’Oliveira, R. G. L., Eichner, H., Rouayheb, S. E., Evans, D., Gardner, J., Garrett, Z., Gascón, A., Ghazi, B., Gibbons, P. B., Gruteser, M., Harchaoui, Z., He, C., He, L., Huo, Z., Hutchinson, B., Hsu, J., Jaggi, M., Javidi, T., Joshi, G., Khodak, M., Konecný, J., Korolova, A., Koushanfar, F., Koyejo, S., Lepoint, T., Liu, Y., Mittal, P., Mohri, M., Nock, R., Özgür, A., Pagh, R., Qi, H., Ramage, D., Raskar, R., Raykova, M., Song, D., Song, W., Stich, S. U., Sun, Z., Suresh, A. T., Tramèr, F., Vepakomma, P., Wang, J., Xiong, L., Xu, Z., Yang, Q., Yu, F. X., Yu, H., and Zhao, S. (2021) · 2021
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Byzantine-resilient secure federated learning
So, J., Güler, B., and Avestimehr, A. S. (2021) · 2021
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Robust training in high dimensions via block coordinate geometric median descent
Acharya, A., Hashemi, A., Jain, P., Sanghavi, S., Dhillon, I. S., and Topcu, U. (2022) · 2022
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Allouah, Y., Guerraoui, R., Hoang, L., and Villemaud, O. (2022) · 2022
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Byzantine-robust learning on heterogeneous datasets via bucketing
Karimireddy, S. P., He, L., and Jaggi, M. (2022) · 2022
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Robust aggregation for federated learning
Pillutla, K., Kakade, S. M., and Harchaoui, Z. (2022) · 2022
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